Model save

README.md

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+---
+license: apache-2.0
+base_model: google-t5/t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: xsum_aligned_smallT5_full
+  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. -->
+
+# xsum_aligned_smallT5_full
+
+This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4093
+- Rouge1: 22.8498
+- Rouge2: 4.7818
+- Rougel: 17.2861
+- Rougelsum: 18.0665
+- Gen Len: 33.6366
+
+## 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
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adafactor
+- lr_scheduler_type: constant
+- training_steps: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| No log        | 0.0   | 5    | 2.6444          | 22.3341 | 4.3395 | 16.2507 | 17.8303   | 46.2437 |
+| No log        | 0.0   | 10   | 2.4093          | 22.8498 | 4.7818 | 17.2861 | 18.0665   | 33.6366 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.39.3"
+}