19Leo97/openhermes-mistral-dpo-gptq

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
+model-index:
+- name: openhermes-mistral-dpo-gptq
+  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. -->
+
+# openhermes-mistral-dpo-gptq
+
+This model is a fine-tuned version of [TheBloke/OpenHermes-2-Mistral-7B-GPTQ](https://huggingface.co/TheBloke/OpenHermes-2-Mistral-7B-GPTQ) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5794
+- Rewards/chosen: 0.3240
+- Rewards/rejected: -0.1304
+- Rewards/accuracies: 0.8125
+- Rewards/margins: 0.4544
+- Logps/rejected: -257.9009
+- Logps/chosen: -299.4479
+- Logits/rejected: -2.5816
+- Logits/chosen: -2.4558
+
+## 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: 0.0002
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2
+- training_steps: 50
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6803        | 0.005 | 10   | 0.6477          | 0.1422         | -0.0051          | 0.9375             | 0.1472          | -256.6473      | -301.2661    | -2.5813         | -2.4540       |
+| 0.7051        | 0.01  | 20   | 0.6019          | 0.1764         | -0.1259          | 0.9375             | 0.3023          | -257.8556      | -300.9241    | -2.5817         | -2.4542       |
+| 0.7343        | 0.015 | 30   | 0.5848          | 0.1973         | -0.1493          | 0.875              | 0.3465          | -258.0895      | -300.7151    | -2.5833         | -2.4551       |
+| 0.6977        | 0.02  | 40   | 0.5773          | 0.2710         | -0.1295          | 0.8125             | 0.4005          | -257.8920      | -299.9776    | -2.5815         | -2.4542       |
+| 0.6483        | 0.025 | 50   | 0.5794          | 0.3240         | -0.1304          | 0.8125             | 0.4544          | -257.9009      | -299.4479    | -2.5816         | -2.4558       |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_config.json

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+  "base_model_name_or_path": "TheBloke/OpenHermes-2-Mistral-7B-GPTQ",
+  "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": 8,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_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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special_tokens_map.json

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tokenizer_config.json

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+}

training_args.bin

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