End of training
Browse files- README.md +128 -0
- adapter_config.json +40 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +6 -0
- config.json +48 -0
- merges.txt +0 -0
- special_tokens_map.json +49 -0
- tokenizer_config.json +205 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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library_name: peft
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license: apache-2.0
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base_model: HuggingFaceTB/SmolLM2-135M
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tags:
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- axolotl
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- generated_from_trainer
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datasets:
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- vicgalle/alpaca-gpt4
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model-index:
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- name: LoRA-SmolLM2-135M-ChatML-Instruct
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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<details><summary>See axolotl config</summary>
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axolotl version: `0.6.0`
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```yaml
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base_model: HuggingFaceTB/SmolLM2-135M
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model_type: LlamaForCausalLM
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tokenizer_type: GPT2Tokenizer
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load_in_4bit: true
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load_in_8bit: false
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strict: false
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save_safetensors: true
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flash_attention: true
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auto_resume_from_checkpoints: true
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save_steps: 100
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learning_rate: 5e-4
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num_epochs: 2
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hub_model_id: minpeter/LoRA-SmolLM2-135M-ChatML-Instruct
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micro_batch_size: 8
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gradient_accumulation_steps: 4
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dataset_processes: 1000
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chat_template: chatml
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datasets:
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- path: vicgalle/alpaca-gpt4
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type: alpaca
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# - path: shibing624/sharegpt_gpt4
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# type: chat_template
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# field_messages: conversations
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# message_field_role: from
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# message_field_content: value
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# roles_to_train: ["assistant", "gpt"]
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# fraction: 0.1
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adapter: qlora
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lora_r: 16
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lora_alpha: 32
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lora_dropout: 0.1
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lora_target_linear: true
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lora_modules_to_save:
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- lm_head
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- embed_tokens
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special_tokens:
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bos_token: <|begin_of_text|>
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eos_token: <|end_of_text|>
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pad_token: <|custom_pad|>
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unk_token: <|custom_unk|>
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optimizer: adamw_torch_fused
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lr_scheduler: cosine
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wandb_project: "axolotl"
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wandb_entity: "kasfiekfs-e"
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```
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</details><br>
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# LoRA-SmolLM2-135M-ChatML-Instruct
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This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on the vicgalle/alpaca-gpt4 dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0005
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 97
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- num_epochs: 2
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### Training results
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### Framework versions
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- PEFT 0.14.0
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- Transformers 4.47.1
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- Pytorch 2.5.1+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "HuggingFaceTB/SmolLM2-135M",
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"bias": "none",
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": null,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_bias": false,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": [
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"lm_head",
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"embed_tokens"
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],
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj",
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"gate_proj",
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"k_proj",
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"down_proj",
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"up_proj",
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"o_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:62edf33ef0ed8c5670bd545d5860275f098dcebc71ead788fc5088271258ed80
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size 359360072
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added_tokens.json
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{
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"<|begin_of_text|>": 49152,
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"<|custom_pad|>": 49154,
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"<|custom_unk|>": 49155,
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"<|end_of_text|>": 49153
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}
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config.json
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{
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"_attn_implementation_autoset": true,
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"_name_or_path": "HuggingFaceTB/SmolLM2-135M",
|
4 |
+
"architectures": [
|
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"LlamaForCausalLM"
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+
],
|
7 |
+
"attention_bias": false,
|
8 |
+
"attention_dropout": 0.0,
|
9 |
+
"bos_token_id": 0,
|
10 |
+
"eos_token_id": 0,
|
11 |
+
"head_dim": 64,
|
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+
"hidden_act": "silu",
|
13 |
+
"hidden_size": 576,
|
14 |
+
"initializer_range": 0.041666666666666664,
|
15 |
+
"intermediate_size": 1536,
|
16 |
+
"is_llama_config": true,
|
17 |
+
"max_position_embeddings": 8192,
|
18 |
+
"mlp_bias": false,
|
19 |
+
"model_type": "llama",
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+
"num_attention_heads": 9,
|
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+
"num_hidden_layers": 30,
|
22 |
+
"num_key_value_heads": 3,
|
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+
"pretraining_tp": 1,
|
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+
"quantization_config": {
|
25 |
+
"_load_in_4bit": true,
|
26 |
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"_load_in_8bit": false,
|
27 |
+
"bnb_4bit_compute_dtype": "bfloat16",
|
28 |
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"bnb_4bit_quant_storage": "bfloat16",
|
29 |
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"bnb_4bit_quant_type": "nf4",
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30 |
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"bnb_4bit_use_double_quant": true,
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31 |
+
"llm_int8_enable_fp32_cpu_offload": false,
|
32 |
+
"llm_int8_has_fp16_weight": false,
|
33 |
+
"llm_int8_skip_modules": null,
|
34 |
+
"llm_int8_threshold": 6.0,
|
35 |
+
"load_in_4bit": true,
|
36 |
+
"load_in_8bit": false,
|
37 |
+
"quant_method": "bitsandbytes"
|
38 |
+
},
|
39 |
+
"rms_norm_eps": 1e-05,
|
40 |
+
"rope_interleaved": false,
|
41 |
+
"rope_scaling": null,
|
42 |
+
"rope_theta": 100000,
|
43 |
+
"tie_word_embeddings": true,
|
44 |
+
"torch_dtype": "bfloat16",
|
45 |
+
"transformers_version": "4.47.1",
|
46 |
+
"use_cache": false,
|
47 |
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"vocab_size": 49156
|
48 |
+
}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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special_tokens_map.json
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{
|
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"additional_special_tokens": [
|
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"<|endoftext|>",
|
4 |
+
"<|im_start|>",
|
5 |
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"<|im_end|>",
|
6 |
+
"<repo_name>",
|
7 |
+
"<reponame>",
|
8 |
+
"<file_sep>",
|
9 |
+
"<filename>",
|
10 |
+
"<gh_stars>",
|
11 |
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"<issue_start>",
|
12 |
+
"<issue_comment>",
|
13 |
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"<issue_closed>",
|
14 |
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"<jupyter_start>",
|
15 |
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"<jupyter_text>",
|
16 |
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"<jupyter_code>",
|
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"<jupyter_output>",
|
18 |
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"<jupyter_script>",
|
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"<empty_output>"
|
20 |
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],
|
21 |
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"bos_token": {
|
22 |
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"content": "<|begin_of_text|>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false
|
27 |
+
},
|
28 |
+
"eos_token": {
|
29 |
+
"content": "<|end_of_text|>",
|
30 |
+
"lstrip": false,
|
31 |
+
"normalized": false,
|
32 |
+
"rstrip": false,
|
33 |
+
"single_word": false
|
34 |
+
},
|
35 |
+
"pad_token": {
|
36 |
+
"content": "<|custom_pad|>",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false
|
41 |
+
},
|
42 |
+
"unk_token": {
|
43 |
+
"content": "<|custom_unk|>",
|
44 |
+
"lstrip": false,
|
45 |
+
"normalized": false,
|
46 |
+
"rstrip": false,
|
47 |
+
"single_word": false
|
48 |
+
}
|
49 |
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}
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tokenizer_config.json
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|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_prefix_space": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<|endoftext|>",
|
7 |
+
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|
8 |
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|
9 |
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|
10 |
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|
11 |
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|
12 |
+
},
|
13 |
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"1": {
|
14 |
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"content": "<|im_start|>",
|
15 |
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|
16 |
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|
17 |
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|
18 |
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|
19 |
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|
20 |
+
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|
21 |
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"2": {
|
22 |
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"content": "<|im_end|>",
|
23 |
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|
24 |
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|
25 |
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|
26 |
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|
27 |
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"special": true
|
28 |
+
},
|
29 |
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"3": {
|
30 |
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"content": "<repo_name>",
|
31 |
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|
32 |
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|
33 |
+
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|
34 |
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|
35 |
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"special": true
|
36 |
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|
37 |
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"4": {
|
38 |
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"content": "<reponame>",
|
39 |
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|
40 |
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|
41 |
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|
42 |
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|
43 |
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"special": true
|
44 |
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},
|
45 |
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"5": {
|
46 |
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"content": "<file_sep>",
|
47 |
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|
48 |
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|
49 |
+
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|
50 |
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|
51 |
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|
52 |
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|
53 |
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"6": {
|
54 |
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"content": "<filename>",
|
55 |
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|
56 |
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|
57 |
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|
58 |
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|
59 |
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"special": true
|
60 |
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|
61 |
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"7": {
|
62 |
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"content": "<gh_stars>",
|
63 |
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|
64 |
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|
65 |
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|
66 |
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|
67 |
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"special": true
|
68 |
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|
69 |
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"8": {
|
70 |
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"content": "<issue_start>",
|
71 |
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"lstrip": false,
|
72 |
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|
73 |
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|
74 |
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|
75 |
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"special": true
|
76 |
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},
|
77 |
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"9": {
|
78 |
+
"content": "<issue_comment>",
|
79 |
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"lstrip": false,
|
80 |
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"normalized": false,
|
81 |
+
"rstrip": false,
|
82 |
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|
83 |
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"special": true
|
84 |
+
},
|
85 |
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"10": {
|
86 |
+
"content": "<issue_closed>",
|
87 |
+
"lstrip": false,
|
88 |
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"normalized": false,
|
89 |
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"rstrip": false,
|
90 |
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|
91 |
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"special": true
|
92 |
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},
|
93 |
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"11": {
|
94 |
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"content": "<jupyter_start>",
|
95 |
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"lstrip": false,
|
96 |
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"normalized": false,
|
97 |
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|
98 |
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"single_word": false,
|
99 |
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"special": true
|
100 |
+
},
|
101 |
+
"12": {
|
102 |
+
"content": "<jupyter_text>",
|
103 |
+
"lstrip": false,
|
104 |
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"normalized": false,
|
105 |
+
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|
106 |
+
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|
107 |
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"special": true
|
108 |
+
},
|
109 |
+
"13": {
|
110 |
+
"content": "<jupyter_code>",
|
111 |
+
"lstrip": false,
|
112 |
+
"normalized": false,
|
113 |
+
"rstrip": false,
|
114 |
+
"single_word": false,
|
115 |
+
"special": true
|
116 |
+
},
|
117 |
+
"14": {
|
118 |
+
"content": "<jupyter_output>",
|
119 |
+
"lstrip": false,
|
120 |
+
"normalized": false,
|
121 |
+
"rstrip": false,
|
122 |
+
"single_word": false,
|
123 |
+
"special": true
|
124 |
+
},
|
125 |
+
"15": {
|
126 |
+
"content": "<jupyter_script>",
|
127 |
+
"lstrip": false,
|
128 |
+
"normalized": false,
|
129 |
+
"rstrip": false,
|
130 |
+
"single_word": false,
|
131 |
+
"special": true
|
132 |
+
},
|
133 |
+
"16": {
|
134 |
+
"content": "<empty_output>",
|
135 |
+
"lstrip": false,
|
136 |
+
"normalized": false,
|
137 |
+
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|
138 |
+
"single_word": false,
|
139 |
+
"special": true
|
140 |
+
},
|
141 |
+
"49152": {
|
142 |
+
"content": "<|begin_of_text|>",
|
143 |
+
"lstrip": false,
|
144 |
+
"normalized": false,
|
145 |
+
"rstrip": false,
|
146 |
+
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|
147 |
+
"special": true
|
148 |
+
},
|
149 |
+
"49153": {
|
150 |
+
"content": "<|end_of_text|>",
|
151 |
+
"lstrip": false,
|
152 |
+
"normalized": false,
|
153 |
+
"rstrip": false,
|
154 |
+
"single_word": false,
|
155 |
+
"special": true
|
156 |
+
},
|
157 |
+
"49154": {
|
158 |
+
"content": "<|custom_pad|>",
|
159 |
+
"lstrip": false,
|
160 |
+
"normalized": false,
|
161 |
+
"rstrip": false,
|
162 |
+
"single_word": false,
|
163 |
+
"special": true
|
164 |
+
},
|
165 |
+
"49155": {
|
166 |
+
"content": "<|custom_unk|>",
|
167 |
+
"lstrip": false,
|
168 |
+
"normalized": false,
|
169 |
+
"rstrip": false,
|
170 |
+
"single_word": false,
|
171 |
+
"special": true
|
172 |
+
}
|
173 |
+
},
|
174 |
+
"additional_special_tokens": [
|
175 |
+
"<|endoftext|>",
|
176 |
+
"<|im_start|>",
|
177 |
+
"<|im_end|>",
|
178 |
+
"<repo_name>",
|
179 |
+
"<reponame>",
|
180 |
+
"<file_sep>",
|
181 |
+
"<filename>",
|
182 |
+
"<gh_stars>",
|
183 |
+
"<issue_start>",
|
184 |
+
"<issue_comment>",
|
185 |
+
"<issue_closed>",
|
186 |
+
"<jupyter_start>",
|
187 |
+
"<jupyter_text>",
|
188 |
+
"<jupyter_code>",
|
189 |
+
"<jupyter_output>",
|
190 |
+
"<jupyter_script>",
|
191 |
+
"<empty_output>"
|
192 |
+
],
|
193 |
+
"bos_token": "<|begin_of_text|>",
|
194 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
195 |
+
"clean_up_tokenization_spaces": false,
|
196 |
+
"eos_token": "<|end_of_text|>",
|
197 |
+
"errors": "replace",
|
198 |
+
"extra_special_tokens": {},
|
199 |
+
"model_max_length": 8192,
|
200 |
+
"pad_token": "<|custom_pad|>",
|
201 |
+
"tokenizer_class": "GPT2Tokenizer",
|
202 |
+
"unk_token": "<|custom_unk|>",
|
203 |
+
"use_fast": true,
|
204 |
+
"vocab_size": 49152
|
205 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1afe55903a5c95ed2eb4264099a5a9055874c45eeed1bd1500613e4e5744ab80
|
3 |
+
size 6648
|
vocab.json
ADDED
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|
|