End of training

README.md

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+---
+license: apache-2.0
+base_model: Salesforce/codet5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: codet5-small-generate-docstrings-codexglue-python-bs-32
+  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. -->
+
+# codet5-small-generate-docstrings-codexglue-python-bs-32
+
+This model is a fine-tuned version of [Salesforce/codet5-small](https://huggingface.co/Salesforce/codet5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0595
+- Rouge1: 0.3535
+- Rouge2: 0.1748
+- Rougel: 0.3195
+- Rougelsum: 0.336
+- Gen Len: 16.1317
+
+## 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: 32
+- eval_batch_size: 32
+- 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.6758        | 1.0   | 5952  | 2.2761          | 0.3458 | 0.1674 | 0.312  | 0.329     | 16.375  |
+| 2.4212        | 2.0   | 11904 | 2.1955          | 0.3471 | 0.1698 | 0.3143 | 0.33      | 15.3815 |
+| 2.3395        | 3.0   | 17856 | 2.1480          | 0.3501 | 0.1715 | 0.3159 | 0.3329    | 16.4806 |
+| 2.2889        | 4.0   | 23808 | 2.1198          | 0.3506 | 0.1722 | 0.3167 | 0.3333    | 15.974  |
+| 2.252         | 5.0   | 29760 | 2.0984          | 0.3524 | 0.1738 | 0.3184 | 0.3351    | 16.2197 |
+| 2.226         | 6.0   | 35712 | 2.0851          | 0.3518 | 0.1736 | 0.3182 | 0.3345    | 15.9882 |
+| 2.2047        | 7.0   | 41664 | 2.0746          | 0.3521 | 0.1738 | 0.3185 | 0.3348    | 16.2078 |
+| 2.1894        | 8.0   | 47616 | 2.0654          | 0.3532 | 0.1748 | 0.3194 | 0.3357    | 16.1077 |
+| 2.1798        | 9.0   | 53568 | 2.0617          | 0.3528 | 0.1749 | 0.3192 | 0.3355    | 16.0418 |
+| 2.1732        | 10.0  | 59520 | 2.0595          | 0.3535 | 0.1748 | 0.3195 | 0.336     | 16.1317 |
+
+
+### Framework versions
+
+- Transformers 4.33.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4.dev0
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "bos_token_id": 1,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.33.0.dev0"
+}