thobuiq/teamtrack-ai

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: teamtrack-ai
+  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. -->
+
+# teamtrack-ai
+
+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: 0.6303
+- Rewards/chosen: -0.0503
+- Rewards/rejected: -0.1912
+- Rewards/accuracies: 0.875
+- Rewards/margins: 0.1409
+- Logps/rejected: -190.9696
+- Logps/chosen: -89.6439
+- Logits/rejected: -2.7104
+- Logits/chosen: -2.8594
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6859        | 0.01  | 10   | 0.6664          | 0.0030         | -0.0376          | 0.6875             | 0.0406          | -189.4330      | -89.1108     | -2.7111         | -2.8122       |
+| 0.6888        | 0.01  | 20   | 0.6478          | -0.0110        | -0.0944          | 0.875              | 0.0834          | -190.0014      | -89.2510     | -2.7160         | -2.8235       |
+| 0.6397        | 0.01  | 30   | 0.6385          | -0.0256        | -0.1254          | 0.8125             | 0.0997          | -190.3110      | -89.3974     | -2.7148         | -2.8392       |
+| 0.6501        | 0.02  | 40   | 0.6365          | -0.0472        | -0.1782          | 0.8125             | 0.1311          | -190.8396      | -89.6128     | -2.7116         | -2.8528       |
+| 0.6852        | 0.03  | 50   | 0.6303          | -0.0503        | -0.1912          | 0.875              | 0.1409          | -190.9696      | -89.6439     | -2.7104         | -2.8594       |
+
+
+### 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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+{
+  "alpha_pattern": {},
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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": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

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added_tokens.json

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runs/Jan24_08-15-44_6eeefb984128/events.out.tfevents.1706084272.6eeefb984128.1014.0

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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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