End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-Instruct-v0.3
+model-index:
+- name: Mistral-7B-Instruct-v0.3-dpo-lora_lr1e-5_5ep
+  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. -->
+
+# Mistral-7B-Instruct-v0.3-dpo-lora_lr1e-5_5ep
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2423
+- Rewards/chosen: -0.5640
+- Rewards/rejected: -4.3641
+- Rewards/accuracies: 0.8557
+- Rewards/margins: 3.8002
+- Logps/rejected: -417.8773
+- Logps/chosen: -434.6749
+- Logits/rejected: 0.0188
+- Logits/chosen: 0.1716
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.4274        | 1.0   | 103  | 0.3324          | 0.2097         | -1.9397          | 0.7932             | 2.1493          | -393.6328      | -426.9386    | -0.3230         | -0.0880       |
+| 0.1309        | 2.0   | 206  | 0.2679          | 0.0296         | -2.9700          | 0.8482             | 2.9997          | -403.9364      | -428.7391    | -0.1288         | 0.0588        |
+| 0.0376        | 3.0   | 309  | 0.2491          | -0.4817        | -4.1509          | 0.8452             | 3.6692          | -415.7445      | -433.8520    | -0.0034         | 0.1539        |
+| 0.0158        | 4.0   | 412  | 0.2450          | -0.5678        | -4.3787          | 0.8557             | 3.8110          | -418.0231      | -434.7127    | 0.0183          | 0.1715        |
+| 0.0129        | 5.0   | 515  | 0.2423          | -0.5640        | -4.3641          | 0.8557             | 3.8002          | -417.8773      | -434.6749    | 0.0188          | 0.1716        |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "lm_head",
+    "gate_proj",
+    "q_proj",
+    "v_proj",
+    "down_proj",
+    "up_proj",
+    "o_proj",
+    "k_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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special_tokens_map.json

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+  "unk_token": {
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+}

tokenizer.model

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training_args.bin

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