Model save
Browse files- README.md +64 -0
- generation_config.json +6 -0
- pytorch_model.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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metrics:
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- rouge
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model-index:
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- name: t5-small-with-generate-finetune-indosum
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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-with-generate-finetune-indosum
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6542
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- Rouge1: 0.2065
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- Rouge2: 0.1572
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- Rougel: 0.2026
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- Rougelsum: 0.2026
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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: 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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| 0.7518 | 1.0 | 4460 | 0.6542 | 0.2065 | 0.1572 | 0.2026 | 0.2026 | 19.0 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.0
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- Datasets 2.12.0
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- Tokenizers 0.13.2
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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": "4.32.1"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 242071641
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version https://git-lfs.github.com/spec/v1
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oid sha256:c78f33d47aa2bf06570c07a82c9f0604e2114e7780db4d354dfe484c0545ed4e
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size 242071641
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