Training complete

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: t5-small
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: samsum_model_t5_small_10_epochs
+  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. -->
+
+# samsum_model_t5_small_10_epochs
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8701
+- Rouge1: 0.4055
+- Rouge2: 0.1762
+- Rougel: 0.3372
+- Rougelsum: 0.337
+- Gen Len: 16.4738
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 200  | 1.9528          | 0.3844 | 0.1567 | 0.3184 | 0.3182    | 16.1362 |
+| No log        | 2.0   | 400  | 1.9221          | 0.3885 | 0.1613 | 0.3212 | 0.321     | 16.3325 |
+| 2.0996        | 3.0   | 600  | 1.9072          | 0.3936 | 0.1661 | 0.3264 | 0.3259    | 16.2288 |
+| 2.0996        | 4.0   | 800  | 1.8930          | 0.3984 | 0.1678 | 0.3295 | 0.3292    | 16.3375 |
+| 2.0297        | 5.0   | 1000 | 1.8860          | 0.4005 | 0.1708 | 0.333  | 0.3329    | 16.355  |
+| 2.0297        | 6.0   | 1200 | 1.8780          | 0.4023 | 0.1726 | 0.3341 | 0.3342    | 16.3375 |
+| 2.0297        | 7.0   | 1400 | 1.8738          | 0.4025 | 0.1723 | 0.3347 | 0.3346    | 16.4275 |
+| 1.9894        | 8.0   | 1600 | 1.8701          | 0.4064 | 0.1757 | 0.3369 | 0.3369    | 16.495  |
+| 1.9894        | 9.0   | 1800 | 1.8706          | 0.4061 | 0.1767 | 0.3375 | 0.3375    | 16.4825 |
+| 1.9735        | 10.0  | 2000 | 1.8701          | 0.4055 | 0.1762 | 0.3372 | 0.337     | 16.4738 |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.46.3"
+}

runs/Dec06_04-00-47_23a5a004e2bf/events.out.tfevents.1733457648.23a5a004e2bf.494.2

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