Training complete

README.md

@@ -4,6 +4,8 @@ base_model: Falconsai/text_summarization
 tags:
 - summarization
 - generated_from_trainer
+metrics:
+- rouge
 model-index:
 - name: text_summarization-cnn
   results: []
@@ -15,6 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
 # text_summarization-cnn
 
 This model is a fine-tuned version of [Falconsai/text_summarization](https://huggingface.co/Falconsai/text_summarization) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6288
+- Rouge1: 0.2455
+- Rouge2: 0.1187
+- Rougel: 0.203
+- Rougelsum: 0.2317
 
 ## Model description
 
@@ -34,13 +42,21 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5.6e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- 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: 2
 
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 1.8226        | 1.0   | 17431 | 1.6400          | 0.2449 | 0.1178 | 0.2024 | 0.2311    |
+| 1.7775        | 2.0   | 34862 | 1.6288          | 0.2455 | 0.1187 | 0.203  | 0.2317    |
+
+
 ### Framework versions
 
 - Transformers 4.39.3

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4fe2bc4a430f7e1ba0438d18bbd7ccd5ad1895e7121bf3ca623f49da09b20257
+oid sha256:56200e80122d60a19762717a46f3628515b24493a1db14853bdbf9ce75d49aae
 size 242041896