End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- orpo
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-v0.3
+model-index:
+- name: Orpo-Mistral-7B-v0.3-peft-adapter
+  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. -->
+
+# Orpo-Mistral-7B-v0.3-peft-adapter
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6129
+- Rewards/chosen: -0.0574
+- Rewards/rejected: -0.0794
+- Rewards/accuracies: 0.6429
+- Rewards/margins: 0.0221
+- Logps/rejected: -0.7943
+- Logps/chosen: -0.5738
+- Logits/rejected: -3.2681
+- Logits/chosen: -3.2859
+- Nll Loss: 0.5465
+- Log Odds Ratio: -0.5869
+- Log Odds Chosen: 0.4083
+
+## 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: 8e-06
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Nll Loss | Log Odds Ratio | Log Odds Chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
+| 0.7914        | 0.2003 | 62   | 0.6937          | -0.0709        | -0.0851          | 0.6071             | 0.0142          | -0.8514        | -0.7090      | -3.2582         | -3.2848       | 0.6333   | -0.6178        | 0.2402          |
+| 0.802         | 0.4006 | 124  | 0.6338          | -0.0607        | -0.0781          | 0.6429             | 0.0174          | -0.7809        | -0.6070      | -3.2744         | -3.2972       | 0.5693   | -0.5966        | 0.3287          |
+| 0.8605        | 0.6010 | 186  | 0.6204          | -0.0586        | -0.0799          | 0.6071             | 0.0213          | -0.7990        | -0.5863      | -3.2692         | -3.2895       | 0.5538   | -0.5899        | 0.3927          |
+| 0.7359        | 0.8013 | 248  | 0.6129          | -0.0574        | -0.0794          | 0.6429             | 0.0221          | -0.7943        | -0.5738      | -3.2681         | -3.2859       | 0.5465   | -0.5869        | 0.4083          |
+
+
+### 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-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": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "o_proj",
+    "up_proj",
+    "down_proj",
+    "v_proj",
+    "q_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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added_tokens.json

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+  "<|im_start|>": 32768
+}

runs/May24_02-09-36_304c44d61a1a/events.out.tfevents.1716516589.304c44d61a1a.2075.0

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special_tokens_map.json

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+      "normalized": false,
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+  "eos_token": "<|im_end|>",
+  "pad_token": "<|im_end|>",
+  "unk_token": {
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+    "lstrip": false,
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+    "rstrip": false,
+    "single_word": false
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+}

tokenizer.model

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training_args.bin

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