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--- |
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license: apache-2.0 |
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base_model: google-t5/t5-small |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: lm43-course |
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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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# lm43-course |
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.7623 |
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- Rouge1: 0.2392 |
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- Rouge2: 0.1164 |
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- Rougel: 0.1976 |
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- Rougelsum: 0.1972 |
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- Gen Len: 19.0 |
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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: 5.6e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 16 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| 1.9898 | 1.0 | 313 | 1.7485 | 0.2413 | 0.1167 | 0.2001 | 0.1996 | 19.0 | |
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| 1.9173 | 2.0 | 626 | 1.7413 | 0.2376 | 0.1157 | 0.1959 | 0.1948 | 19.0 | |
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| 1.8161 | 3.0 | 939 | 1.7374 | 0.2389 | 0.118 | 0.198 | 0.1975 | 18.9867 | |
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| 1.8325 | 4.0 | 1252 | 1.7422 | 0.2376 | 0.1168 | 0.1974 | 0.197 | 19.0 | |
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| 1.7772 | 5.0 | 1565 | 1.7380 | 0.246 | 0.1218 | 0.2025 | 0.2017 | 19.0 | |
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| 1.8026 | 6.0 | 1878 | 1.7418 | 0.2413 | 0.1191 | 0.1991 | 0.1985 | 19.0 | |
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| 1.7752 | 7.0 | 2191 | 1.7438 | 0.2396 | 0.1186 | 0.1975 | 0.1969 | 19.0 | |
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| 1.7194 | 8.0 | 2504 | 1.7493 | 0.244 | 0.1185 | 0.2 | 0.1997 | 19.0 | |
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| 1.7181 | 9.0 | 2817 | 1.7519 | 0.2368 | 0.1128 | 0.1945 | 0.1942 | 19.0 | |
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| 1.675 | 10.0 | 3130 | 1.7546 | 0.2383 | 0.1149 | 0.1965 | 0.1962 | 19.0 | |
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| 1.6874 | 11.0 | 3443 | 1.7574 | 0.2421 | 0.1171 | 0.1994 | 0.199 | 19.0 | |
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| 1.6358 | 12.0 | 3756 | 1.7554 | 0.2422 | 0.1202 | 0.2016 | 0.2013 | 19.0 | |
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| 1.6706 | 13.0 | 4069 | 1.7596 | 0.2412 | 0.1164 | 0.1983 | 0.1978 | 19.0 | |
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| 1.6387 | 14.0 | 4382 | 1.7622 | 0.2403 | 0.1167 | 0.198 | 0.1979 | 19.0 | |
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| 1.6524 | 15.0 | 4695 | 1.7620 | 0.238 | 0.1155 | 0.1961 | 0.196 | 19.0 | |
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| 1.6706 | 16.0 | 5008 | 1.7623 | 0.2392 | 0.1164 | 0.1976 | 0.1972 | 19.0 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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