End of training

README.md

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+---
+license: apache-2.0
+base_model: mosaicml/mpt-7b-instruct
+tags:
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: mpt_1000_STEPS_1e5_rate_03_beta_DPO
+  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. -->
+
+# mpt_1000_STEPS_1e5_rate_03_beta_DPO
+
+This model is a fine-tuned version of [mosaicml/mpt-7b-instruct](https://huggingface.co/mosaicml/mpt-7b-instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5250
+- Rewards/chosen: -11.2880
+- Rewards/rejected: -11.0941
+- Rewards/accuracies: 0.4989
+- Rewards/margins: -0.1939
+- Logps/rejected: -58.5379
+- Logps/chosen: -58.4188
+- Logits/rejected: 8.0116
+- Logits/chosen: 8.0111
+
+## 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: 1e-05
+- train_batch_size: 2
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 2.9156        | 0.1   | 100  | 3.4899          | -15.5009       | -15.3977         | 0.4725             | -0.1031         | -72.8833       | -72.4618     | 42.9070         | 42.9069       |
+| 2.1578        | 0.2   | 200  | 2.2150          | -9.7540        | -9.4579          | 0.4549             | -0.2961         | -53.0838       | -53.3056     | 12.3838         | 12.3837       |
+| 2.8766        | 0.29  | 300  | 2.2464          | -12.1892       | -11.8037         | 0.4593             | -0.3856         | -60.9030       | -61.4230     | 14.3112         | 14.3107       |
+| 2.5297        | 0.39  | 400  | 1.8130          | -10.1066       | -9.8997          | 0.4879             | -0.2069         | -54.5563       | -54.4807     | 10.1726         | 10.1723       |
+| 2.2297        | 0.49  | 500  | 1.9150          | -10.8801       | -10.6958         | 0.4923             | -0.1843         | -57.2102       | -57.0592     | 9.5803          | 9.5795        |
+| 1.8734        | 0.59  | 600  | 1.6431          | -11.3789       | -11.2312         | 0.4835             | -0.1477         | -58.9947       | -58.7219     | 11.7059         | 11.7051       |
+| 1.7922        | 0.68  | 700  | 1.6689          | -12.0398       | -11.8183         | 0.4879             | -0.2215         | -60.9518       | -60.9247     | 8.8943          | 8.8938        |
+| 1.268         | 0.78  | 800  | 1.5363          | -11.2805       | -11.0909         | 0.5033             | -0.1895         | -58.5271       | -58.3937     | 8.4559          | 8.4554        |
+| 1.7688        | 0.88  | 900  | 1.5253          | -11.2773       | -11.0831         | 0.4945             | -0.1942         | -58.5010       | -58.3831     | 8.0320          | 8.0315        |
+| 1.0648        | 0.98  | 1000 | 1.5250          | -11.2880       | -11.0941         | 0.4989             | -0.1939         | -58.5379       | -58.4188     | 8.0116          | 8.0111        |
+
+
+### Framework versions
+
+- Transformers 4.39.1
+- Pytorch 2.0.0+cu117
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "mosaicml/mpt-7b-instruct",
+  "architectures": [
+    "MptForCausalLM"
+  ],
+  "attn_config": {
+    "model_type": ""
+  },
+  "auto_map": {
+    "AutoConfig": "mosaicml/mpt-7b-instruct--configuration_mpt.MPTConfig",
+    "AutoModelForCausalLM": "mosaicml/mpt-7b-instruct--modeling_mpt.MPTForCausalLM"
+  },
+  "d_model": 4096,
+  "emb_pdrop": 0,
+  "embedding_fraction": 1.0,
+  "expansion_ratio": 4,
+  "init_config": {
+    "emb_init_std": null,
+    "emb_init_uniform_lim": null,
+    "fan_mode": "fan_in",
+    "init_div_is_residual": true,
+    "init_gain": 0,
+    "init_nonlinearity": "relu",
+    "init_std": 0.02,
+    "name": "kaiming_normal_",
+    "verbose": 0
+  },
+  "init_device": "cpu",
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "learned_pos_emb": true,
+  "logit_scale": null,
+  "max_seq_len": 2048,
+  "model_type": "mpt",
+  "n_heads": 32,
+  "n_layers": 32,
+  "no_bias": true,
+  "norm_type": "low_precision_layernorm",
+  "resid_pdrop": 0,
+  "tokenizer_name": "EleutherAI/gpt-neox-20b",
+  "torch_dtype": "float16",
+  "transformers_version": "4.39.1",
+  "use_cache": false,
+  "verbose": 0,
+  "vocab_size": 50432
+}

final_checkpoint/config.json

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+{
+  "_name_or_path": "mosaicml/mpt-7b-instruct",
+  "architectures": [
+    "MptForCausalLM"
+  ],
+  "attn_config": {
+    "model_type": ""
+  },
+  "auto_map": {
+    "AutoConfig": "mosaicml/mpt-7b-instruct--configuration_mpt.MPTConfig",
+    "AutoModelForCausalLM": "mosaicml/mpt-7b-instruct--modeling_mpt.MPTForCausalLM"
+  },
+  "d_model": 4096,
+  "emb_pdrop": 0,
+  "embedding_fraction": 1.0,
+  "expansion_ratio": 4,
+  "init_config": {
+    "emb_init_std": null,
+    "emb_init_uniform_lim": null,
+    "fan_mode": "fan_in",
+    "init_div_is_residual": true,
+    "init_gain": 0,
+    "init_nonlinearity": "relu",
+    "init_std": 0.02,
+    "name": "kaiming_normal_",
+    "verbose": 0
+  },
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+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "learned_pos_emb": true,
+  "logit_scale": null,
+  "max_seq_len": 2048,
+  "model_type": "mpt",
+  "n_heads": 32,
+  "n_layers": 32,
+  "no_bias": true,
+  "norm_type": "low_precision_layernorm",
+  "resid_pdrop": 0,
+  "tokenizer_name": "EleutherAI/gpt-neox-20b",
+  "torch_dtype": "float16",
+  "transformers_version": "4.39.1",
+  "use_cache": false,
+  "verbose": 0,
+  "vocab_size": 50432
+}

final_checkpoint/generation_config.json

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+{
+  "_from_model_config": true,
+  "eos_token_id": 0,
+  "transformers_version": "4.39.1",
+  "use_cache": false
+}

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special_tokens_map.json

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