End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/mt5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: mt5-base-finetuned-easy-read
+  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. -->
+
+# mt5-base-finetuned-easy-read
+
+This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2835
+- Rouge1: 13.0053
+- Rouge2: 8.6562
+- Rougel: 11.7749
+- Rougelsum: 12.3804
+- Gen Len: 19.0
+
+## 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: 2e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 5.6871        | 1.0   | 900  | 1.5048          | 11.9413 | 7.8867 | 10.8757 | 11.4959   | 19.0    |
+| 1.9143        | 2.0   | 1800 | 1.4182          | 12.2658 | 8.2424 | 11.2409 | 11.7768   | 19.0    |
+| 1.7584        | 3.0   | 2700 | 1.3636          | 12.7798 | 8.1504 | 11.2713 | 12.0686   | 19.0    |
+| 1.6482        | 4.0   | 3600 | 1.3348          | 12.9292 | 8.3411 | 11.4354 | 12.2381   | 19.0    |
+| 1.6097        | 5.0   | 4500 | 1.3097          | 13.039  | 8.4571 | 11.5373 | 12.337    | 19.0    |
+| 1.5737        | 6.0   | 5400 | 1.3061          | 13.0469 | 8.6595 | 11.7187 | 12.4057   | 19.0    |
+| 1.5457        | 7.0   | 6300 | 1.2981          | 12.9871 | 8.644  | 11.7806 | 12.3623   | 19.0    |
+| 1.5384        | 8.0   | 7200 | 1.2882          | 12.8935 | 8.5503 | 11.6772 | 12.2745   | 19.0    |
+| 1.5048        | 9.0   | 8100 | 1.2869          | 12.9359 | 8.5885 | 11.6961 | 12.2979   | 19.0    |
+| 1.5026        | 10.0  | 9000 | 1.2835          | 13.0053 | 8.6562 | 11.7749 | 12.3804   | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.1
+- Datasets 3.0.1
+- Tokenizers 0.20.0

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.45.1"
+}

runs/Mar20_20-35-02_minion/events.out.tfevents.1742499303.minion

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+size 14623