AlinaKozyreva commited on
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1047196
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End of training

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README.md ADDED
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+ ---
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+ license: other
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+ base_model: baffo32/decapoda-research-llama-7B-hf
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: olinaweights
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # olinaweights
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+
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+ This model is a fine-tuned version of [baffo32/decapoda-research-llama-7B-hf](https://huggingface.co/baffo32/decapoda-research-llama-7B-hf) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0104
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0003
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 32
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 40
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+ - training_steps: 1000
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 0.01 | 100 | 0.1012 |
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+ | No log | 0.03 | 200 | 0.0426 |
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+ | 0.1403 | 0.04 | 300 | 0.0455 |
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+ | 0.1403 | 0.05 | 400 | 0.0258 |
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+ | 0.0307 | 0.07 | 500 | 0.0227 |
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+ | 0.0307 | 0.08 | 600 | 0.0200 |
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+ | 0.0307 | 0.09 | 700 | 0.0164 |
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+ | 0.019 | 0.11 | 800 | 0.0126 |
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+ | 0.019 | 0.12 | 900 | 0.0117 |
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+ | 0.0115 | 0.13 | 1000 | 0.0104 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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+ "base_model_name_or_path": "baffo32/decapoda-research-llama-7B-hf",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "lora_alpha": 64,
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+ "lora_dropout": 0.05,
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 64,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "q_proj",
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+ "v_proj",
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+ "o_proj",
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+ "k_proj"
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
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