End of training
Browse files- README.md +72 -0
- adapter_model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: google/long-t5-tglobal-xl
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metrics:
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- rouge
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model-index:
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- name: LongT5-XLarge-NSPCC
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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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# LongT5-XLarge-NSPCC
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This model is a fine-tuned version of [google/long-t5-tglobal-xl](https://huggingface.co/google/long-t5-tglobal-xl) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6843
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- Rouge1: 0.5138
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- Rouge2: 0.2297
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- Rougel: 0.2999
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- Rougelsum: 0.2995
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- Gen Len: 337.6809
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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: 0.0003
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 4
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 4
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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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| 3.6911 | 0.9960 | 188 | 0.7292 | 0.4665 | 0.1826 | 0.2611 | 0.2611 | 360.7021 |
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| 0.8701 | 1.9974 | 377 | 0.6967 | 0.4886 | 0.2073 | 0.2805 | 0.2799 | 365.3298 |
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| 0.7849 | 2.9987 | 566 | 0.6808 | 0.5116 | 0.2302 | 0.2995 | 0.2997 | 332.3191 |
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| 0.7769 | 3.9841 | 752 | 0.6843 | 0.5138 | 0.2297 | 0.2999 | 0.2995 | 337.6809 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.40.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 37833256
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