End of training

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: google/mt5-small
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: mt5-small-task3-dataset1
   results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 # mt5-small-task3-dataset1
 
 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3592
+- Accuracy: 0.14
 
 ## Model description
 
@@ -40,6 +45,24 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 12
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.6139        | 1.0   | 250  | 1.3916          | 0.102    |
+| 1.5289        | 2.0   | 500  | 1.4550          | 0.108    |
+| 1.4823        | 3.0   | 750  | 1.3630          | 0.132    |
+| 1.4372        | 4.0   | 1000 | 1.3930          | 0.116    |
+| 1.4563        | 5.0   | 1250 | 1.3857          | 0.124    |
+| 1.4347        | 6.0   | 1500 | 1.3708          | 0.124    |
+| 1.4303        | 7.0   | 1750 | 1.3856          | 0.136    |
+| 1.4072        | 8.0   | 2000 | 1.3595          | 0.136    |
+| 1.4045        | 9.0   | 2250 | 1.3677          | 0.13     |
+| 1.3861        | 10.0  | 2500 | 1.3511          | 0.13     |
+| 1.376         | 11.0  | 2750 | 1.3543          | 0.136    |
+| 1.3699        | 12.0  | 3000 | 1.3592          | 0.14     |
+
+
 ### Framework versions
 
 - Transformers 4.35.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ce94e73972cc4b887bc215a61168ebe7642bf483779957b60d90e95ce8ca22cf
+oid sha256:933249b636a6343239de7a4a39732e3540e913aea0deb0f0077f7b3c9c5623f9
 size 1200729512