Commit
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End of training
Browse files- README.md +65 -0
- generation_config.json +7 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: allenai/led-base-16384
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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: thesis-led-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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# thesis-led-finetuned
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This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1409
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- Rouge1: 11.3075
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- Rouge2: 4.0034
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- Rougel: 8.5589
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- Rougelsum: 10.2381
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- Gen Len: 20.0
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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: 4
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- eval_batch_size: 4
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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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| 2.2249 | 1.0 | 11243 | 2.1409 | 11.3075 | 4.0034 | 8.5589 | 10.2381 | 20.0 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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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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"bos_token_id": 0,
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"decoder_start_token_id": 2,
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"eos_token_id": 2,
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"pad_token_id": 1,
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"transformers_version": "4.39.3"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 647614116
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version https://git-lfs.github.com/spec/v1
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oid sha256:8ec50d0d618c9056177e986c90a54aa0d876b40a015b2ccc9c652f279b7d6b02
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size 647614116
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