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--- |
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license: apache-2.0 |
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base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: llama2-2t-asstop1-lr2-e5-cos-ep3-instruct-v4 |
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results: [] |
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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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# llama2-2t-asstop1-lr2-e5-cos-ep3-instruct-v4 |
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-955k-token-2T) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4769 |
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Too many warmup steps as a result loss did not go down much. This model is suboptimal. |
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## Training Script |
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https://github.com/habanoz/llm-sft/ |
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## Training Setup |
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Trained on Sagemaker ml.g5.xlarge for 1 hour(s), 43 minute(s), and 30 second(s). |
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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: 2e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_steps: 100 |
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- training_steps: 0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.6795 | 1.0 | 202 | 1.5372 | |
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| 1.5387 | 2.0 | 404 | 1.4769 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.0.0 |
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- Datasets 2.12.0 |
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- Tokenizers 0.15.0 |
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