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: seven_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. -->
+
+# seven_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: 2.6967
+- Rouge1: 0.2471
+- Rouge2: 0.1156
+- Rougel: 0.221
+- Rougelsum: 0.2214
+- Gen Len: 17.57
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 107  | 3.2445          | 0.1098 | 0.0185 | 0.0968 | 0.0967    | 18.47   |
+| No log        | 2.0   | 214  | 2.9257          | 0.1353 | 0.0337 | 0.119  | 0.1191    | 17.94   |
+| No log        | 3.0   | 321  | 2.8182          | 0.2021 | 0.0797 | 0.1801 | 0.1795    | 17.45   |
+| No log        | 4.0   | 428  | 2.7577          | 0.2358 | 0.1081 | 0.2096 | 0.2089    | 17.53   |
+| 3.0898        | 5.0   | 535  | 2.7202          | 0.2347 | 0.1059 | 0.211  | 0.2094    | 17.31   |
+| 3.0898        | 6.0   | 642  | 2.7035          | 0.2429 | 0.1124 | 0.2191 | 0.2188    | 17.58   |
+| 3.0898        | 7.0   | 749  | 2.6967          | 0.2471 | 0.1156 | 0.221  | 0.2214    | 17.57   |
+
+
+### 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_22-05-17_d9c99a1f3b3e/events.out.tfevents.1701986718.d9c99a1f3b3e.2834.11

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