training completed[prod]: T5-base-lora

README.md

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+---
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: google/pegasus-xsum
+model-index:
+- name: T5-lora-legalease
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# T5-lora-legalease
+
+This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.5452
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 0.18  | 250  | 4.1826          |
+| 4.6756        | 0.35  | 500  | 3.8860          |
+| 4.6756        | 0.53  | 750  | 3.7923          |
+| 3.8476        | 0.71  | 1000 | 3.7309          |
+| 3.8476        | 0.89  | 1250 | 3.6762          |
+| 3.7406        | 1.06  | 1500 | 3.6374          |
+| 3.7406        | 1.24  | 1750 | 3.6072          |
+| 3.6278        | 1.42  | 2000 | 3.5841          |
+| 3.6278        | 1.6   | 2250 | 3.5630          |
+| 3.6359        | 1.77  | 2500 | 3.5509          |
+| 3.6359        | 1.95  | 2750 | 3.5452          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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