End of training

README.md

@@ -0,0 +1,69 @@
+---
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-small-finetuned-samsum
+  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-small-finetuned-samsum
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7651
+- Rouge1: 41.6124
+- Rouge2: 18.7668
+- Rougel: 35.0271
+- Rougelsum: 38.5305
+- Gen Len: 16.6381
+
+## 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: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 2.044         | 1.0   | 921  | 1.8159          | 41.1358 | 18.1022 | 34.3309 | 38.1969   | 16.5232 |
+| 1.9796        | 2.0   | 1842 | 1.7915          | 41.4713 | 18.6313 | 34.7999 | 38.4147   | 16.566  |
+| 1.9487        | 3.0   | 2763 | 1.7724          | 41.6106 | 18.6119 | 34.7796 | 38.5737   | 16.7213 |
+| 1.9265        | 4.0   | 3684 | 1.7687          | 41.6027 | 18.8083 | 34.8846 | 38.566    | 16.676  |
+| 1.9176        | 5.0   | 4605 | 1.7651          | 41.6124 | 18.7668 | 35.0271 | 38.5305   | 16.6381 |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.40.0"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d6e8b9a749feb34dd1a84cb3749fdb8f963a6c5fc8a11dc5056a3993897ae850
+oid sha256:a37859b343c9965935eaeeec537f8a6e670f0cec70b09acc1676be014386493b
 size 242041896

runs/Apr24_22-03-17_3f7d7ea1bb59/events.out.tfevents.1713996623.3f7d7ea1bb59.355.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:796eeb878f31cb7442072140e8d0b3d9cce73081f1a7d87abc85184ccb4c4a8b
-size 15508
+oid sha256:e60551413550ddb1b221929a54ef7c8d12155e8056a9dd623bc0f305033d7595
+size 16387