samyakjain20
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End of training
Browse files- README.md +57 -0
- generation_config.json +6 -0
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: t5-small
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tags:
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- generated_from_trainer
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datasets:
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- xsum
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model-index:
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- name: t5-small-finetuned-xsum
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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-finetuned-xsum
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset.
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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: 2e-05
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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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- 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: 1
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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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| No log | 1.0 | 13 | 3.6426 | 13.9376 | 0.0 | 10.616 | 10.7445 | 19.0 |
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.34.0"
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}
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pytorch_model.bin
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training_args.bin
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