End of training

README.md

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+---
+license: apache-2.0
+base_model: t5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-squad
+  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. -->
+
+# t5-squad
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.8157
+- Rouge1: 0.1335
+- Rouge2: 0.0193
+- Rougel: 0.1312
+- Rougelsum: 0.1310
+
+## 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: 1e-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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| No log        | 0.53  | 100  | 3.2422          | 0.1221 | 0.0171 | 0.1210 | 0.1209    |
+| No log        | 1.06  | 200  | 2.9500          | 0.1248 | 0.0170 | 0.1224 | 0.1227    |
+| No log        | 1.6   | 300  | 2.8945          | 0.1258 | 0.0173 | 0.1229 | 0.1231    |
+| No log        | 2.13  | 400  | 2.8715          | 0.1295 | 0.0191 | 0.1270 | 0.1270    |
+| 3.1266        | 2.66  | 500  | 2.8479          | 0.1299 | 0.0200 | 0.1275 | 0.1275    |
+| 3.1266        | 3.19  | 600  | 2.8316          | 0.1307 | 0.0203 | 0.1285 | 0.1286    |
+| 3.1266        | 3.72  | 700  | 2.8238          | 0.1324 | 0.0204 | 0.1301 | 0.1302    |
+| 3.1266        | 4.26  | 800  | 2.8180          | 0.1339 | 0.0193 | 0.1316 | 0.1315    |
+| 3.1266        | 4.79  | 900  | 2.8157          | 0.1335 | 0.0193 | 0.1312 | 0.1310    |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.33.0"
+}