Model save
Browse files- README.md +69 -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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metrics:
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- rouge
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base_model: google-t5/t5-base
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model-index:
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- name: t5-base-v2
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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-base-v2
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This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1406
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- Rouge1: 26.0593
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- Rouge2: 8.3440
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- Rougel: 18.7623
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- Rougelsum: 18.7644
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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: 4e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 7
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
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| 2.3035 | 0.6 | 200 | 1.9551 | 26.5313 | 8.5854 | 18.5427 | 18.5364 |
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| 2.235 | 1.19 | 400 | 2.0039 | 26.6457 | 8.8987 | 18.9702 | 18.9660 |
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| 2.3213 | 1.79 | 600 | 2.0703 | 26.3265 | 8.6686 | 18.8473 | 18.8465 |
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| 2.3909 | 2.39 | 800 | 2.1191 | 25.8424 | 8.3369 | 18.6260 | 18.6392 |
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| 2.4381 | 2.99 | 1000 | 2.1406 | 26.0593 | 8.3440 | 18.7623 | 18.7644 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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adapter_model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 7098016
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version https://git-lfs.github.com/spec/v1
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oid sha256:a3d7e4c734f92e831fbdac467fa91c4061d3de20eff999691d9986d0c00a5bbc
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size 7098016
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