End of training

README.md

@@ -0,0 +1,80 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: google-t5/t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: Text_Summarization
+  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. -->
+
+# Text_Summarization
+
+This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4199
+- Rouge1: 0.2439
+- Rouge2: 0.2006
+- Rougel: 0.2365
+- Rougelsum: 0.2366
+- Gen Len: 18.9994
+
+## 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: 12
+- eval_batch_size: 12
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 1.9264        | 1.0   | 1580  | 1.6705          | 0.2329 | 0.1842 | 0.223  | 0.223     | 18.9994 |
+| 1.8184        | 2.0   | 3160  | 1.5849          | 0.2376 | 0.1894 | 0.2287 | 0.2288    | 18.9988 |
+| 1.7427        | 3.0   | 4740  | 1.5382          | 0.2379 | 0.1914 | 0.2296 | 0.2297    | 18.9994 |
+| 1.7067        | 4.0   | 6320  | 1.5073          | 0.2397 | 0.1943 | 0.2318 | 0.2318    | 19.0    |
+| 1.6783        | 5.0   | 7900  | 1.4873          | 0.2406 | 0.1957 | 0.2329 | 0.2329    | 19.0    |
+| 1.6585        | 6.0   | 9480  | 1.4716          | 0.242  | 0.1976 | 0.2343 | 0.2343    | 19.0    |
+| 1.6457        | 7.0   | 11060 | 1.4572          | 0.2427 | 0.1988 | 0.2351 | 0.2351    | 19.0    |
+| 1.6129        | 8.0   | 12640 | 1.4488          | 0.2433 | 0.1995 | 0.2357 | 0.2358    | 19.0    |
+| 1.6014        | 9.0   | 14220 | 1.4405          | 0.2435 | 0.1999 | 0.236  | 0.236     | 19.0    |
+| 1.5851        | 10.0  | 15800 | 1.4337          | 0.2439 | 0.2002 | 0.2364 | 0.2365    | 18.9994 |
+| 1.5859        | 11.0  | 17380 | 1.4281          | 0.2436 | 0.2    | 0.2362 | 0.2362    | 19.0    |
+| 1.573         | 12.0  | 18960 | 1.4247          | 0.244  | 0.2005 | 0.2365 | 0.2366    | 18.9994 |
+| 1.5826        | 13.0  | 20540 | 1.4220          | 0.244  | 0.2007 | 0.2365 | 0.2365    | 18.9994 |
+| 1.5674        | 14.0  | 22120 | 1.4205          | 0.2439 | 0.2006 | 0.2365 | 0.2365    | 18.9994 |
+| 1.572         | 15.0  | 23700 | 1.4199          | 0.2439 | 0.2006 | 0.2365 | 0.2366    | 18.9994 |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.45.1"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bc07904c394744ae8e896e771c962621a96615bde5ef127c1486d2cd2e467db4
+oid sha256:648f9b9bc1c9837eca34be729dba631691dc3a99ccc1202eedf8c4d9b9287851
 size 242041896