End of training

README.md

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+---
+license: apache-2.0
+base_model: google/flan-t5-large
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: flan-t5-large-spelling-peft
+  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-large-spelling-peft
+
+This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2537
+- Rouge1: 95.8905
+- Rouge2: 91.9178
+- Rougel: 95.8459
+- Rougelsum: 95.8393
+- Gen Len: 33.61
+
+## 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: 64
+- eval_batch_size: 64
+- 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  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 0.3359        | 0.05  | 500  | 0.2738          | 95.8385 | 91.6723 | 95.7821 | 95.766    | 33.5    |
+| 0.2853        | 0.11  | 1000 | 0.2702          | 95.7124 | 91.5043 | 95.656  | 95.651    | 33.53   |
+| 0.2691        | 0.16  | 1500 | 0.2691          | 95.735  | 91.7108 | 95.7039 | 95.7067   | 33.41   |
+| 0.2596        | 0.21  | 2000 | 0.2663          | 95.9819 | 92.0897 | 95.9519 | 95.9488   | 33.51   |
+| 0.2536        | 0.27  | 2500 | 0.2621          | 95.7519 | 91.5445 | 95.6614 | 95.6622   | 33.49   |
+| 0.2472        | 0.32  | 3000 | 0.2626          | 95.7052 | 91.7321 | 95.6476 | 95.6512   | 33.58   |
+| 0.2448        | 0.37  | 3500 | 0.2669          | 95.8003 | 91.7949 | 95.7536 | 95.7576   | 33.57   |
+| 0.2345        | 0.43  | 4000 | 0.2582          | 95.8784 | 92.008  | 95.8284 | 95.8343   | 33.65   |
+| 0.2345        | 0.48  | 4500 | 0.2629          | 95.8131 | 91.9088 | 95.7624 | 95.766    | 33.63   |
+| 0.2284        | 0.53  | 5000 | 0.2585          | 95.8552 | 91.9833 | 95.8105 | 95.8135   | 33.62   |
+| 0.2266        | 0.59  | 5500 | 0.2591          | 95.9205 | 92.0577 | 95.8689 | 95.8718   | 33.61   |
+| 0.2281        | 0.64  | 6000 | 0.2605          | 95.9172 | 91.9782 | 95.874  | 95.8638   | 33.59   |
+| 0.2228        | 0.69  | 6500 | 0.2566          | 95.7612 | 91.7858 | 95.7129 | 95.7058   | 33.63   |
+| 0.2202        | 0.75  | 7000 | 0.2561          | 95.9468 | 92.0914 | 95.9018 | 95.8941   | 33.64   |
+| 0.218         | 0.8   | 7500 | 0.2579          | 95.9468 | 92.0914 | 95.9018 | 95.8941   | 33.64   |
+| 0.2162        | 0.85  | 8000 | 0.2523          | 95.8231 | 91.9464 | 95.7727 | 95.7758   | 33.66   |
+| 0.2135        | 0.91  | 8500 | 0.2549          | 95.8388 | 91.9804 | 95.7914 | 95.7917   | 33.63   |
+| 0.2124        | 0.96  | 9000 | 0.2537          | 95.8905 | 91.9178 | 95.8459 | 95.8393   | 33.61   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.0
+- Tokenizers 0.15.0

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tokenizer.json

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