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--- |
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base_model: Qwen/Qwen-14B |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: final_databricks_databricks-dolly-15k |
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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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# final_databricks_databricks-dolly-15k |
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This model is a fine-tuned version of [Qwen/Qwen-14B](https://huggingface.co/Qwen/Qwen-14B) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6083 |
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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: 0.0003 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 132 |
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- total_train_batch_size: 264 |
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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_steps: 0.01 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.694 | 0.04 | 2 | 1.8016 | |
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| 1.6398 | 0.07 | 4 | 1.7369 | |
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| 1.6421 | 0.11 | 6 | 1.6886 | |
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| 1.579 | 0.15 | 8 | 1.6596 | |
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| 1.5589 | 0.18 | 10 | 1.6420 | |
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| 1.5944 | 0.22 | 12 | 1.6305 | |
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| 1.5314 | 0.26 | 14 | 1.6274 | |
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| 1.5841 | 0.29 | 16 | 1.6238 | |
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| 1.5945 | 0.33 | 18 | 1.6229 | |
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| 1.5755 | 0.37 | 20 | 1.6234 | |
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| 1.5527 | 0.4 | 22 | 1.6231 | |
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| 1.6121 | 0.44 | 24 | 1.6224 | |
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| 1.586 | 0.48 | 26 | 1.6219 | |
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| 1.5995 | 0.52 | 28 | 1.6213 | |
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| 1.5942 | 0.55 | 30 | 1.6200 | |
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| 1.5738 | 0.59 | 32 | 1.6180 | |
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| 1.5825 | 0.63 | 34 | 1.6161 | |
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| 1.5183 | 0.66 | 36 | 1.6137 | |
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| 1.5964 | 0.7 | 38 | 1.6120 | |
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| 1.623 | 0.74 | 40 | 1.6105 | |
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| 1.5783 | 0.77 | 42 | 1.6098 | |
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| 1.6046 | 0.81 | 44 | 1.6093 | |
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| 1.5157 | 0.85 | 46 | 1.6088 | |
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| 1.5317 | 0.88 | 48 | 1.6086 | |
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| 1.5578 | 0.92 | 50 | 1.6086 | |
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| 1.5402 | 0.96 | 52 | 1.6084 | |
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| 1.5616 | 0.99 | 54 | 1.6083 | |
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### Framework versions |
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- Transformers 4.32.0 |
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- Pytorch 2.1.0 |
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- Datasets 2.14.7 |
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- Tokenizers 0.13.3 |
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