End of training
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README.md
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@@ -5,18 +5,18 @@ base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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tags:
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- generated_from_trainer
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model-index:
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- name: tinyllama-form-gen-v2-
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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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# tinyllama-form-gen-v2-
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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- total_train_batch_size: 4
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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tags:
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- generated_from_trainer
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model-index:
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- name: tinyllama-form-gen-v2-15epoch
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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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# tinyllama-form-gen-v2-15epoch
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2239
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## Model description
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- total_train_batch_size: 4
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 15
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.6428 | 1.0 | 11 | 0.5965 |
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| 0.5231 | 2.0 | 22 | 0.4848 |
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| 0.4323 | 3.0 | 33 | 0.3889 |
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| 0.3284 | 4.0 | 44 | 0.3361 |
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| 0.2941 | 5.0 | 55 | 0.3050 |
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| 0.2494 | 6.0 | 66 | 0.2824 |
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| 0.2379 | 7.0 | 77 | 0.2704 |
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| 0.2247 | 8.0 | 88 | 0.2578 |
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| 0.1871 | 9.0 | 99 | 0.2466 |
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| 0.1724 | 10.0 | 110 | 0.2404 |
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| 0.1624 | 11.0 | 121 | 0.2320 |
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| 0.1544 | 12.0 | 132 | 0.2295 |
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| 0.1492 | 13.0 | 143 | 0.2278 |
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| 0.149 | 14.0 | 154 | 0.2250 |
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| 0.1514 | 15.0 | 165 | 0.2239 |
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### Framework versions
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tokenizer.json
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{
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"version": "1.0",
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"truncation":
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"direction": "Right",
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"max_length": 2048,
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"strategy": "LongestFirst",
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"stride": 0
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},
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"padding": null,
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"added_tokens": [
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{
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"version": "1.0",
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"truncation": null,
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"padding": null,
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"added_tokens": [
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{
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