End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+- f1
+base_model: google/flan-t5-base
+model-index:
+- name: flan-t5-small-esnli-lora
+  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. -->
+
+# flan-t5-small-esnli-lora
+
+This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6258
+- Rouge1: 0.6257
+- Rouge2: 0.4156
+- Rougel: 0.5682
+- F1: 0.8850
+
+## 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: 0.001
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:------:|
+| 1.1793        | 0.25  | 8584  | 1.7215          | 0.6161 | 0.4037 | 0.5577 | 0.8738 |
+| 1.1408        | 0.5   | 17168 | 1.6903          | 0.6194 | 0.4096 | 0.5615 | 0.8730 |
+| 1.1122        | 0.75  | 25752 | 1.6155          | 0.6267 | 0.4179 | 0.5693 | 0.8832 |
+| 1.0929        | 1.0   | 34336 | 1.6258          | 0.6257 | 0.4156 | 0.5682 | 0.8850 |
+
+
+### Framework versions
+
+- PEFT 0.8.2
+- Transformers 4.38.1
+- Pytorch 2.1.2
+- Datasets 2.17.1
+- Tokenizers 0.15.1