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_1e8_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_1e8_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: 0.6941
+- Rewards/chosen: -1.2875
+- Rewards/rejected: -1.6132
+- Rewards/accuracies: 0.6154
+- Rewards/margins: 0.3257
+- Logps/rejected: -24.7839
+- Logps/chosen: -23.3672
+- Logits/rejected: 14.1648
+- Logits/chosen: 14.1681
+
+## 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-06
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.7473        | 0.1   | 100  | 0.6927          | 0.1811         | 0.1159           | 0.5582             | 0.0651          | -21.3256       | -20.4301     | 14.3166         | 14.3195       |
+| 0.7098        | 0.2   | 200  | 0.7624          | 0.6571         | 0.5345           | 0.5714             | 0.1226          | -20.4884       | -19.4780     | 14.1537         | 14.1566       |
+| 0.7516        | 0.29  | 300  | 0.7505          | -0.8487        | -1.0927          | 0.5429             | 0.2440          | -23.7428       | -22.4895     | 14.5590         | 14.5620       |
+| 0.7762        | 0.39  | 400  | 0.7476          | -2.2343        | -2.4798          | 0.5692             | 0.2455          | -26.5171       | -25.2608     | 14.0064         | 14.0094       |
+| 0.8328        | 0.49  | 500  | 0.7228          | -1.5283        | -1.7877          | 0.5736             | 0.2594          | -25.1329       | -23.8488     | 14.1811         | 14.1843       |
+| 0.625         | 0.59  | 600  | 0.7006          | -1.3183        | -1.6353          | 0.5978             | 0.3170          | -24.8281       | -23.4288     | 14.3453         | 14.3486       |
+| 0.7164        | 0.68  | 700  | 0.7015          | -1.2944        | -1.6029          | 0.6022             | 0.3084          | -24.7632       | -23.3811     | 14.2239         | 14.2271       |
+| 0.6844        | 0.78  | 800  | 0.6985          | -1.2758        | -1.5914          | 0.6198             | 0.3157          | -24.7403       | -23.3437     | 14.1630         | 14.1663       |
+| 0.6996        | 0.88  | 900  | 0.6971          | -1.2896        | -1.6092          | 0.6110             | 0.3196          | -24.7758       | -23.3713     | 14.1673         | 14.1706       |
+| 0.6352        | 0.98  | 1000 | 0.6941          | -1.2875        | -1.6132          | 0.6154             | 0.3257          | -24.7839       | -23.3672     | 14.1648         | 14.1681       |
+
+
+### 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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