End of training
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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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metrics:
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- rouge
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base_model: google-t5/t5-large
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model-index:
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- name: my_fine_tuning_summary_t5_large_IA_model_hf
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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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# my_fine_tuning_summary_t5_large_IA_model_hf
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This model is a fine-tuned version of [google-t5/t5-large](https://huggingface.co/google-t5/t5-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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- Rouge1: 0.1345
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- Rouge2: 0.0519
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- Rougel: 0.1119
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- Rougelsum: 0.112
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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: 1
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- eval_batch_size: 1
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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: 4
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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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| 0.0 | 1.0 | 989 | nan | 0.1345 | 0.0519 | 0.1119 | 0.112 | 19.0 |
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| 0.0 | 2.0 | 1978 | nan | 0.1345 | 0.0519 | 0.1119 | 0.112 | 19.0 |
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| 0.0 | 3.0 | 2967 | nan | 0.1345 | 0.0519 | 0.1119 | 0.112 | 19.0 |
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| 0.0 | 4.0 | 3956 | nan | 0.1345 | 0.0519 | 0.1119 | 0.112 | 19.0 |
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### Framework versions
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- PEFT 0.8.2
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- Transformers 4.37.2
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.5
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- Tokenizers 0.15.2
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runs/Feb20_14-01-28_ubuntu/events.out.tfevents.1708412491.ubuntu.25675.0
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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 sha256:5f23b769f15f67e3044036716c96151c449e9e1fe4b86dbdf83c13e8653cf783
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size 8973
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