End of training
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README.md
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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:
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- Rouge1: 0.
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- Rouge2: 0.
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- Rougel: 0.
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- Exact Match: 0.0
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## Model description
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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:
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### Training results
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### Framework versions
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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: 2.1456
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- Rouge1: 0.0
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- Rouge2: 0.0
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- Rougel: 0.0
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- Blue: 0.2691
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- Exact Match: 0.0
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## Model description
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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: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Blue | Exact Match |
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|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:------:|:-----------:|
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| 2.6243 | 0.4545 | 20 | 2.2957 | 0.0 | 0.0 | 0.0 | 0.2691 | 0.0 |
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| 2.5412 | 0.9091 | 40 | 2.2453 | 0.0 | 0.0 | 0.0 | 0.2691 | 0.0 |
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| 2.4349 | 1.3636 | 60 | 2.2129 | 0.0 | 0.0 | 0.0 | 0.2691 | 0.0 |
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| 2.4455 | 1.8182 | 80 | 2.1870 | 0.0 | 0.0 | 0.0 | 0.2691 | 0.0 |
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| 2.4301 | 2.2727 | 100 | 2.1709 | 0.0 | 0.0 | 0.0 | 0.2691 | 0.0 |
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| 2.3886 | 2.7273 | 120 | 2.1594 | 0.0 | 0.0 | 0.0 | 0.2691 | 0.0 |
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| 2.34 | 3.1818 | 140 | 2.1510 | 0.0 | 0.0 | 0.0 | 0.2691 | 0.0 |
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| 2.3932 | 3.6364 | 160 | 2.1456 | 0.0 | 0.0 | 0.0 | 0.2691 | 0.0 |
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### Framework versions
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model.safetensors
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "<pad>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "</s>",
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"extra_ids": 100,
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"model_max_length": 512,
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"pad_token": "<pad>",
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"tokenizer_class": "T5Tokenizer",
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"unk_token": "<unk>"
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"eos_token": "</s>",
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"extra_ids": 100,
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"legacy": true,
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"model_max_length": 512,
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"pad_token": "<pad>",
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"sp_model_kwargs": {},
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"tokenizer_class": "T5Tokenizer",
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"unk_token": "<unk>"
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}
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training_args.bin
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