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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: t5-small-pointer-cstop_artificial |
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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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# t5-small-pointer-cstop_artificial |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1292 |
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- Exact Match: 0.3399 |
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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: 0.001 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 512 |
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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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- training_steps: 3000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Exact Match | |
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|:-------------:|:------:|:----:|:---------------:|:-----------:| |
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| 2.08 | 28.5 | 200 | 0.3320 | 0.0376 | |
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| 0.272 | 57.13 | 400 | 0.1084 | 0.2630 | |
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| 0.0789 | 85.63 | 600 | 0.0830 | 0.3184 | |
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| 0.0355 | 114.25 | 800 | 0.0816 | 0.3363 | |
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| 0.0207 | 142.75 | 1000 | 0.0868 | 0.3292 | |
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| 0.014 | 171.38 | 1200 | 0.0952 | 0.3399 | |
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| 0.0099 | 199.88 | 1400 | 0.1089 | 0.3381 | |
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| 0.0076 | 228.5 | 1600 | 0.1104 | 0.3381 | |
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| 0.0057 | 257.13 | 1800 | 0.1153 | 0.3292 | |
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| 0.0048 | 285.63 | 2000 | 0.1153 | 0.3327 | |
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| 0.004 | 314.25 | 2200 | 0.1206 | 0.3363 | |
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| 0.0032 | 342.75 | 2400 | 0.1229 | 0.3363 | |
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| 0.0028 | 371.38 | 2600 | 0.1268 | 0.3381 | |
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| 0.0023 | 399.88 | 2800 | 0.1288 | 0.3399 | |
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| 0.002 | 428.5 | 3000 | 0.1292 | 0.3399 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.0+cu117 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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