End of training

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: flan-t5-large
+  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
+
+This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0221
+- Rouge1: 98.8686
+- Rouge2: 0.0
+- Rougel: 98.8686
+- Rougelsum: 98.8686
+- Gen Len: 2.0009
+
+## 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: 0.0001
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- total_train_batch_size: 4
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 0.6648        | 1.0   | 1149 | 0.1716          | 81.201  | 0.0    | 81.201  | 81.027    | 2.0009  |
+| 0.1307        | 2.0   | 2298 | 0.0406          | 97.8242 | 0.0    | 97.8242 | 97.8242   | 2.0009  |
+| 0.07          | 3.0   | 3447 | 0.0221          | 98.8686 | 0.0    | 98.8686 | 98.8686   | 2.0009  |
+
+
+### Framework versions
+
+- Transformers 4.26.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.9.0
+- Tokenizers 0.13.3

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