danieladeeko
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new_t5_model
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: t5-base
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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: new_t5_model
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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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# new_t5_model
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2620
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- Rouge1: 0.5313
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- Rouge2: 0.3804
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- Rougel: 0.497
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- Rougelsum: 0.497
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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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| 0.5201 | 1.0 | 2185 | 0.4729 | 0.5255 | 0.3455 | 0.4848 | 0.4848 | 19.0 |
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| 0.3613 | 2.0 | 4370 | 0.3678 | 0.5381 | 0.3879 | 0.5041 | 0.504 | 19.0 |
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| 0.3221 | 3.0 | 6555 | 0.3111 | 0.5328 | 0.3843 | 0.4989 | 0.4989 | 19.0 |
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| 0.3552 | 4.0 | 8740 | 0.2620 | 0.5313 | 0.3804 | 0.497 | 0.497 | 19.0 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.0+cu121
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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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": "4.44.2"
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}
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runs/Sep17_09-56-32_209e29d7b44e/events.out.tfevents.1726570911.209e29d7b44e.260.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:ebd8308f8bf527edbc1a3bce6c38fb6e1e9f56e83684fcbcc64cc8fe0c612b20
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size 613
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