End of training

README.md

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+---
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: ten_epoch
+  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. -->
+
+# ten_epoch
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3814
+- Rouge1: 0.2865
+- Rouge2: 0.153
+- Rougel: 0.2563
+- Rougelsum: 0.2562
+- Gen Len: 17.3158
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 75   | 3.1542          | 0.111  | 0.0252 | 0.0947 | 0.0949    | 18.7342 |
+| No log        | 2.0   | 150  | 2.8010          | 0.1336 | 0.0387 | 0.1154 | 0.1152    | 18.3892 |
+| No log        | 3.0   | 225  | 2.6456          | 0.1982 | 0.0828 | 0.1763 | 0.1758    | 17.515  |
+| No log        | 4.0   | 300  | 2.5532          | 0.2345 | 0.1082 | 0.2107 | 0.2107    | 17.08   |
+| No log        | 5.0   | 375  | 2.4939          | 0.2584 | 0.1264 | 0.2334 | 0.2333    | 17.0658 |
+| No log        | 6.0   | 450  | 2.4497          | 0.2711 | 0.1399 | 0.2441 | 0.2443    | 17.0742 |
+| 3.0304        | 7.0   | 525  | 2.4176          | 0.2804 | 0.1472 | 0.2518 | 0.2521    | 17.1867 |
+| 3.0304        | 8.0   | 600  | 2.3975          | 0.2845 | 0.1511 | 0.2548 | 0.2549    | 17.205  |
+| 3.0304        | 9.0   | 675  | 2.3853          | 0.285  | 0.1522 | 0.2552 | 0.2552    | 17.2683 |
+| 3.0304        | 10.0  | 750  | 2.3814          | 0.2865 | 0.153  | 0.2563 | 0.2562    | 17.3158 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}

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runs/Dec07_15-08-54_11b919f81633/events.out.tfevents.1701961737.11b919f81633.6479.0

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