End of training

README.md

@@ -0,0 +1,153 @@
+---
+library_name: peft
+license: llama3
+base_model: Eurdem/Defne_llama3_2x8B
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: 0b374da8-9512-45d0-8319-e7658575b722
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<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)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.1`
+```yaml
+adapter: lora
+base_model: Eurdem/Defne_llama3_2x8B
+bf16: true
+chat_template: llama3
+dataset_prepared_path: null
+datasets:
+- data_files:
+  - 2c789b3f43ada452_train_data.json
+  ds_type: json
+  format: custom
+  path: /workspace/input_data/2c789b3f43ada452_train_data.json
+  type:
+    field_input: transcript
+    field_instruction: title
+    field_output: explanation
+    format: '{instruction} {input}'
+    no_input_format: '{instruction}'
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+eval_max_new_tokens: 128
+eval_table_size: null
+evals_per_epoch: 4
+flash_attention: true
+fp16: false
+fsdp: null
+fsdp_config: null
+gradient_accumulation_steps: 8
+gradient_checkpointing: true
+group_by_length: true
+hub_model_id: dsakerkwq/0b374da8-9512-45d0-8319-e7658575b722
+learning_rate: 0.0002
+load_in_4bit: false
+load_in_8bit: false
+lora_alpha: 32
+lora_dropout: 0.05
+lora_fan_in_fan_out: null
+lora_model_dir: null
+lora_r: 16
+lora_target_linear: true
+lr_scheduler: cosine
+max_memory:
+  0: 75GiB
+max_steps: 30
+micro_batch_size: 2
+mlflow_experiment_name: /tmp/2c789b3f43ada452_train_data.json
+model_type: AutoModelForCausalLM
+num_epochs: 3
+optimizer: adamw_torch
+output_dir: miner_id_24
+pad_to_sequence_len: true
+s2_attention: false
+sample_packing: false
+saves_per_epoch: 4
+sequence_len: 2048
+strict: false
+tf32: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+val_set_size: 0.05
+wandb_entity: null
+wandb_mode: online
+wandb_name: 0b374da8-9512-45d0-8319-e7658575b722
+wandb_project: Gradients-On-Demand
+wandb_runid: 0b374da8-9512-45d0-8319-e7658575b722
+warmup_steps: 100
+weight_decay: 0.01
+xformers_attention: false
+
+```
+
+</details><br>
+
+# 0b374da8-9512-45d0-8319-e7658575b722
+
+This model is a fine-tuned version of [Eurdem/Defne_llama3_2x8B](https://huggingface.co/Eurdem/Defne_llama3_2x8B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7612
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- training_steps: 30
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.7596        | 0.0081 | 1    | 2.0286          |
+| 1.7619        | 0.0244 | 3    | 2.0279          |
+| 2.0661        | 0.0489 | 6    | 2.0255          |
+| 2.0519        | 0.0733 | 9    | 2.0052          |
+| 2.0356        | 0.0978 | 12   | 1.9552          |
+| 1.9888        | 0.1222 | 15   | 1.8931          |
+| 1.978         | 0.1466 | 18   | 1.8897          |
+| 1.8592        | 0.1711 | 21   | 1.8555          |
+| 1.7885        | 0.1955 | 24   | 1.8108          |
+| 1.8262        | 0.2200 | 27   | 1.7847          |
+| 1.9361        | 0.2444 | 30   | 1.7612          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1

adapter_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:61083bb61574ce874ae7f97ccc917fba0a1f5d8bc126f0aca9e4700cda0a24c4
+size 289671818