End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/long-t5-tglobal-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: long_t5_3
+  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. -->
+
+# long_t5_3
+
+This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5044
+- Rouge1: 0.5154
+- Rouge2: 0.3285
+- Rougel: 0.4684
+- Rougelsum: 0.4689
+- Gen Len: 26.0255
+
+## 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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.287         | 1.0   | 1000  | 1.7000          | 0.46   | 0.2766 | 0.4154 | 0.4159    | 25.549  |
+| 2.0938        | 2.0   | 2000  | 1.6285          | 0.4831 | 0.2971 | 0.4376 | 0.4382    | 26.247  |
+| 1.9825        | 3.0   | 3000  | 1.5920          | 0.4882 | 0.3029 | 0.4429 | 0.4434    | 25.7415 |
+| 1.9024        | 4.0   | 4000  | 1.5721          | 0.4936 | 0.3088 | 0.448  | 0.4489    | 25.4545 |
+| 1.8594        | 5.0   | 5000  | 1.5558          | 0.4933 | 0.3085 | 0.4477 | 0.448     | 26.5305 |
+| 1.7911        | 6.0   | 6000  | 1.5474          | 0.4971 | 0.312  | 0.4519 | 0.4525    | 26.0055 |
+| 1.7713        | 7.0   | 7000  | 1.5340          | 0.4984 | 0.314  | 0.4529 | 0.4536    | 25.853  |
+| 1.7167        | 8.0   | 8000  | 1.5247          | 0.5029 | 0.3186 | 0.4571 | 0.4579    | 26.2305 |
+| 1.6652        | 9.0   | 9000  | 1.5205          | 0.5052 | 0.3191 | 0.4595 | 0.46      | 26.017  |
+| 1.6657        | 10.0  | 10000 | 1.5170          | 0.5058 | 0.3196 | 0.4592 | 0.4598    | 26.2015 |
+| 1.6267        | 11.0  | 11000 | 1.5121          | 0.5078 | 0.3218 | 0.4617 | 0.4624    | 25.857  |
+| 1.5988        | 12.0  | 12000 | 1.5113          | 0.5094 | 0.3245 | 0.4631 | 0.4637    | 25.9415 |
+| 1.5983        | 13.0  | 13000 | 1.5049          | 0.5074 | 0.3214 | 0.4616 | 0.462     | 25.74   |
+| 1.5806        | 14.0  | 14000 | 1.5083          | 0.5114 | 0.3253 | 0.4642 | 0.4648    | 26.214  |
+| 1.588         | 15.0  | 15000 | 1.5038          | 0.5116 | 0.3257 | 0.4646 | 0.4649    | 26.2325 |
+| 1.5611        | 16.0  | 16000 | 1.5039          | 0.5126 | 0.3267 | 0.4666 | 0.4671    | 26.1765 |
+| 1.5723        | 17.0  | 17000 | 1.5021          | 0.5137 | 0.327  | 0.4667 | 0.4672    | 25.9735 |
+| 1.5319        | 18.0  | 18000 | 1.5041          | 0.5132 | 0.3265 | 0.4667 | 0.4672    | 25.9945 |
+| 1.5403        | 19.0  | 19000 | 1.5045          | 0.5151 | 0.3283 | 0.4682 | 0.4687    | 26.089  |
+| 1.5472        | 20.0  | 20000 | 1.5044          | 0.5154 | 0.3285 | 0.4684 | 0.4689    | 26.0255 |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.2.1
+- Datasets 3.0.1
+- Tokenizers 0.20.0

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "max_length": 100,
+  "pad_token_id": 0,
+  "transformers_version": "4.45.1"
+}

model.safetensors

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 size 1187780840