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End of training
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README.md
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---
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license: mit
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base_model: VietAI/vit5-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: mymodel_base_10k_sample_2e5_batchsize32
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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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# mymodel_base_10k_sample_2e5_batchsize32
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This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8017
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- Rouge1: 0.5626
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- Rouge2: 0.2589
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- Rougel: 0.3631
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- Rougelsum: 0.3633
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- Gen Len: 38.8535
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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: 3
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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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| 2.0869 | 1.0 | 500 | 1.8225 | 0.5506 | 0.2479 | 0.3552 | 0.3553 | 40.6745 |
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| 1.8071 | 2.0 | 1000 | 1.8038 | 0.5589 | 0.2523 | 0.3585 | 0.3586 | 39.335 |
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| 1.6991 | 3.0 | 1500 | 1.8017 | 0.5626 | 0.2589 | 0.3631 | 0.3633 | 38.8535 |
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### Framework versions
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- Transformers 4.36.0.dev0
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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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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"max_length": 256,
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"pad_token_id": 0,
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"transformers_version": "4.36.0.dev0"
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}
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runs/Dec11_10-29-24_f7cb237773e8/events.out.tfevents.1702290565.f7cb237773e8.1463.0
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 7102
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