End of training
Browse files- README.md +69 -0
- adapter_model.safetensors +1 -1
README.md
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---
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library_name: peft
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license: apache-2.0
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base_model: t5-small
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tags:
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- generated_from_trainer
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model-index:
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- name: Summarization_Continue
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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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# Summarization_Continue
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0784
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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: 0.0001
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 2
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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 |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.103 | 0.2229 | 500 | 1.0905 |
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| 1.0955 | 0.4458 | 1000 | 1.0865 |
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| 1.0835 | 0.6687 | 1500 | 1.0834 |
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| 1.0841 | 0.8916 | 2000 | 1.0814 |
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| 1.0803 | 1.1141 | 2500 | 1.0802 |
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| 1.0812 | 1.3370 | 3000 | 1.0788 |
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| 1.0816 | 1.5599 | 3500 | 1.0781 |
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| 1.0827 | 1.7828 | 4000 | 1.0784 |
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### Framework versions
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- PEFT 0.14.0
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- Transformers 4.51.1
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- Pytorch 2.5.1+cu124
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- Datasets 3.5.0
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- Tokenizers 0.21.0
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adapter_model.safetensors
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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 1189536
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version https://git-lfs.github.com/spec/v1
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oid sha256:2b09096c31380bdcc9a69b914961305a9bf0f3e64a38ae47bf7b2c03ba975197
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size 1189536
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