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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-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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metrics:
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- rouge
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model-index:
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- name: t5-small-finetuned-xsum
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: xsum
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type: xsum
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config: default
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split: validation
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args: default
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metrics:
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- name: Rouge1
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type: rouge
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value: 26.1414
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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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It achieves the following results on the evaluation set:
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- Loss: 2.6094
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- Rouge1: 26.1414
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- Rouge2: 6.2643
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- Rougel: 20.2268
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- Rougelsum: 20.2209
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- Gen Len: 18.7725
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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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- 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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| 2.8659 | 1.0 | 625 | 2.6094 | 26.1414 | 6.2643 | 20.2268 | 20.2209 | 18.7725 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.5.0+cu121
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- Datasets 3.1.0
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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/Nov08_09-26-23_54681a6ea90e/events.out.tfevents.1731059021.54681a6ea90e.436.2
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:cbb2184192879a17c6662718fb76ea7ee527e8729c21f4a5326b45d57da8f3db
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size 7038
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