End of training

README.md

@@ -3,6 +3,8 @@ license: mit
 base_model: flax-community/spanish-t5-small
 tags:
 - generated_from_trainer
+metrics:
+- rouge
 model-index:
 - name: augmented_t5_pictos
   results: []
@@ -14,6 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
 # augmented_t5_pictos
 
 This model is a fine-tuned version of [flax-community/spanish-t5-small](https://huggingface.co/flax-community/spanish-t5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7310
+- Rouge1: 37.4282
+- Rouge2: 22.3689
+- Rougel: 36.6759
+- Rougelsum: 36.6221
+- Gen Len: 8.2137
 
 ## Model description
 
@@ -33,15 +42,20 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 240
-- eval_batch_size: 240
+- 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: 100
+- num_epochs: 3
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 2.6393        | 1.0   | 264  | 1.9960          | 32.7681 | 17.2065 | 31.9063 | 31.833    | 8.3718  |
+| 1.9631        | 2.0   | 528  | 1.7823          | 38.1058 | 22.883  | 37.2227 | 37.1823   | 8.0598  |
+| 1.7671        | 3.0   | 792  | 1.7310          | 37.4282 | 22.3689 | 36.6759 | 36.6221   | 8.2137  |
 
 
 ### Framework versions

generation_config.json

@@ -1,5 +1,4 @@
 {
-  "_from_model_config": true,
   "decoder_start_token_id": 0,
   "eos_token_id": 1,
   "pad_token_id": 0,