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--- |
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base_model: TinyPixel/Llama-2-7B-bf16-sharded |
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tags: |
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- generated_from_trainer |
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datasets: |
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- dialogstudio |
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- Andyrasika/TweetSumm-tuned |
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model-index: |
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- name: experiments |
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results: [] |
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license: creativeml-openrail-m |
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language: |
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- en |
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metrics: |
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- accuracy |
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library_name: transformers |
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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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# experiments |
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This model is a fine-tuned version of [TinyPixel/Llama-2-7B-bf16-sharded](https://huggingface.co/TinyPixel/Llama-2-7B-bf16-sharded) on the dialogstudio dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8522 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 4 |
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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: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.9048 | 0.4 | 22 | 1.9220 | |
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| 1.824 | 0.8 | 44 | 1.8809 | |
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| 1.6784 | 1.2 | 66 | 1.8619 | |
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| 1.77 | 1.6 | 88 | 1.8537 | |
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| 1.6501 | 2.0 | 110 | 1.8522 | |
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``` |
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from peft import AutoPeftModelForCausalLM |
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trained_model = AutoPeftModelForCausalLM.from_pretrained( |
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"Andyrasika/fine-tuning-llama", |
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low_cpu_mem_usage=True, |
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) |
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merged_model = model.merge_and_unload() |
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merged_model.save_pretrained("merged_model", safe_serialization=True) |
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tokenizer.save_pretrained("merged_model") |
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``` |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
