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--- |
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license: apache-2.0 |
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base_model: google/t5-v1_1-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: ghc-google-t5-v1_1-large-intra_model-dataset-frequency-model_annots_str |
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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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# ghc-google-t5-v1_1-large-intra_model-dataset-frequency-model_annots_str |
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This model is a fine-tuned version of [google/t5-v1_1-large](https://huggingface.co./google/t5-v1_1-large) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: nan |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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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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- num_epochs: 200 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 6.1892 | 1.0 | 345 | 6.6229 | |
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| 5.2951 | 2.0 | 690 | 5.5307 | |
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| 0.2702 | 3.0 | 1035 | 0.2511 | |
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| 0.2605 | 4.0 | 1380 | 0.2295 | |
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| 0.2635 | 5.0 | 1725 | 0.2378 | |
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| 0.2405 | 6.0 | 2070 | 0.2250 | |
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| 0.2605 | 7.0 | 2415 | 0.2226 | |
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| 0.2235 | 8.0 | 2760 | 0.2237 | |
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| 0.2303 | 9.0 | 3105 | 0.2199 | |
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| 0.2378 | 10.0 | 3450 | 0.2214 | |
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| 0.24 | 11.0 | 3795 | 0.2169 | |
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| 0.2236 | 12.0 | 4140 | 0.2183 | |
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| 0.2079 | 13.0 | 4485 | 0.2184 | |
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| 0.2594 | 14.0 | 4830 | 0.2159 | |
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| 0.2303 | 15.0 | 5175 | 0.2170 | |
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| 0.2238 | 16.0 | 5520 | 0.2146 | |
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| 0.2071 | 17.0 | 5865 | 0.2161 | |
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| 0.2129 | 18.0 | 6210 | 0.2130 | |
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| 0.2297 | 19.0 | 6555 | 0.2133 | |
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| 0.2434 | 20.0 | 6900 | 0.2158 | |
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| 0.2158 | 21.0 | 7245 | 0.2147 | |
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| 0.2222 | 22.0 | 7590 | 0.2166 | |
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| 0.2388 | 23.0 | 7935 | 0.2127 | |
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| 0.2132 | 24.0 | 8280 | 0.2123 | |
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| 0.2269 | 25.0 | 8625 | 0.2136 | |
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| 0.2237 | 26.0 | 8970 | 0.2142 | |
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| 0.2064 | 27.0 | 9315 | 0.2135 | |
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| 0.2329 | 28.0 | 9660 | 0.2140 | |
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| 0.2319 | 29.0 | 10005 | 0.2140 | |
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### Framework versions |
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- Transformers 4.34.0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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