shouray/agent-carter-trained

README.md

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+---
+base_model: PrunaAI/mistralai-Mistral-7B-Instruct-v0.2-bnb-4bit-smashed
+library_name: peft
+tags:
+- generated_from_trainer
+model-index:
+- name: CMS-Results
+  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. -->
+
+# CMS-Results
+
+This model is a fine-tuned version of [PrunaAI/mistralai-Mistral-7B-Instruct-v0.2-bnb-4bit-smashed](https://huggingface.co/PrunaAI/mistralai-Mistral-7B-Instruct-v0.2-bnb-4bit-smashed) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6764
+
+## 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: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.3035        | 0.8571 | 3    | 1.8262          |
+| 1.2484        | 2.0    | 7    | 1.2039          |
+| 1.158         | 2.8571 | 10   | 1.0290          |
+| 0.7415        | 4.0    | 14   | 0.8352          |
+| 0.7861        | 4.8571 | 17   | 0.7549          |
+| 0.5122        | 6.0    | 21   | 0.6964          |
+| 0.6129        | 6.8571 | 24   | 0.6842          |
+| 0.4332        | 8.0    | 28   | 0.6770          |
+| 0.4938        | 8.5714 | 30   | 0.6764          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

adapter_config.json

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+  "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": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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runs/Sep17_19-01-37_54904289edd0/events.out.tfevents.1726599879.54904289edd0.468.0

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training_args.bin

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