training completed[prod]: T5-PEFT-3

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: t5-base
+model-index:
+- name: T5-PEFT-3
+  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-PEFT-3
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1705
+
+## 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  | 1.3105          |
+| 1.7303        | 0.35  | 500  | 1.2574          |
+| 1.7303        | 0.53  | 750  | 1.2259          |
+| 1.3176        | 0.71  | 1000 | 1.2101          |
+| 1.3176        | 0.89  | 1250 | 1.2009          |
+| 1.2971        | 1.06  | 1500 | 1.1895          |
+| 1.2971        | 1.24  | 1750 | 1.1828          |
+| 1.2582        | 1.42  | 2000 | 1.1804          |
+| 1.2582        | 1.6   | 2250 | 1.1763          |
+| 1.2579        | 1.77  | 2500 | 1.1730          |
+| 1.2579        | 1.95  | 2750 | 1.1705          |
+
+
+### 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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