End of training

README.md

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+---
+library_name: peft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+base_model: HachiML/Mistral-7B-v0.3-mxm0.5-lora
+model-index:
+- name: Mistral-7B-v0.3-dpo-lora_sr_mxm1_lr1e-5_3ep
+  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-v0.3-dpo-lora_sr_mxm1_lr1e-5_3ep
+
+This model is a fine-tuned version of [HachiML/Mistral-7B-v0.3-mxm0.5-lora](https://huggingface.co/HachiML/Mistral-7B-v0.3-mxm0.5-lora) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3042
+- Rewards/chosen: -1.2203
+- Rewards/rejected: -3.3451
+- Rewards/accuracies: 0.8378
+- Rewards/margins: 2.1247
+- Logps/rejected: -261.0693
+- Logps/chosen: -372.8520
+- Logits/rejected: 1.1299
+- Logits/chosen: 0.4372
+
+## 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.4588        | 1.0   | 103  | 0.3524          | -0.7926        | -2.3725          | 0.7857             | 1.5799          | -251.3439      | -368.5752    | 0.8310          | 0.2112        |
+| 0.1934        | 2.0   | 206  | 0.3055          | -1.1865        | -3.2760          | 0.8170             | 2.0896          | -260.3791      | -372.5136    | 1.0927          | 0.4082        |
+| 0.1254        | 3.0   | 309  | 0.3042          | -1.2203        | -3.3451          | 0.8378             | 2.1247          | -261.0693      | -372.8520    | 1.1299          | 0.4372        |
+
+
+### 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": "HachiML/Mistral-7B-v0.3-mxm0.5-lora",
+  "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": [
+    "gate_proj",
+    "up_proj",
+    "o_proj",
+    "lm_head",
+    "q_proj",
+    "down_proj",
+    "k_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 608759824

special_tokens_map.json

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+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+  "eos_token": {
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+    "rstrip": false,
+    "single_word": false
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+  "pad_token": "</s>",
+  "unk_token": {
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

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training_args.bin

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