darshan8950/mistarl7b_finetuned

README.md

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+---
+license: apache-2.0
+base_model: TheBloke/OpenHermes-2-Mistral-7B-GPTQ
+tags:
+- trl
+- dpo
+- generated_from_trainer
+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: 0.1947
+- Rewards/chosen: 1.6152
+- Rewards/rejected: -0.7739
+- Rewards/accuracies: 1.0
+- Rewards/margins: 2.3891
+- Logps/rejected: -44.7556
+- Logps/chosen: -277.0341
+- Logits/rejected: -1.2926
+- Logits/chosen: -2.0369
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6696        | 0.01  | 10   | 0.5880          | 0.1428         | -0.0848          | 0.75               | 0.2276          | -37.8643       | -291.7574    | -1.2055         | -2.0304       |
+| 0.5209        | 0.02  | 20   | 0.3704          | 0.7380         | -0.2765          | 1.0                | 1.0145          | -39.7818       | -285.8060    | -1.2770         | -2.0614       |
+| 0.3319        | 0.03  | 30   | 0.2640          | 1.1988         | -0.4424          | 1.0                | 1.6412          | -41.4403       | -281.1980    | -1.3008         | -2.0673       |
+| 0.216         | 0.04  | 40   | 0.2150          | 1.4326         | -0.6569          | 1.0                | 2.0896          | -43.5858       | -278.8598    | -1.2972         | -2.0492       |
+| 0.1711        | 0.06  | 50   | 0.1947          | 1.6152         | -0.7739          | 1.0                | 2.3891          | -44.7556       | -277.0341    | -1.2926         | -2.0369       |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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,
+  "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"
+}

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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