End of training
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README.md
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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: t5_sum_finetuned
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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_sum_finetuned
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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: 2.4801
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- Rouge1: 0.1452
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- Rouge2: 0.0533
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- Rougel: 0.1216
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- Rougelsum: 0.1218
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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: 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: 4
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- mixed_precision_training: Native AMP
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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 | 62 | 2.7641 | 0.1313 | 0.0403 | 0.1088 | 0.1088 | 19.0 |
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| No log | 2.0 | 124 | 2.5610 | 0.1388 | 0.047 | 0.1151 | 0.1148 | 19.0 |
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| No log | 3.0 | 186 | 2.4969 | 0.1449 | 0.0518 | 0.1203 | 0.1203 | 19.0 |
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| No log | 4.0 | 248 | 2.4801 | 0.1452 | 0.0533 | 0.1216 | 0.1218 | 19.0 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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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": "4.38.2"
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}
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model.safetensors
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runs/Mar28_18-54-34_f59ceeaad057/events.out.tfevents.1711652078.f59ceeaad057.2232.0
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size 7988
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