End of training

README.md

@@ -4,9 +4,6 @@ license: mit
 base_model: VietAI/vit5-base
 tags:
 - generated_from_trainer
-metrics:
-- precision
-- recall
 model-index:
 - name: ViNormT5
   results: []
@@ -19,12 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2324
-- Bleu Score: 79.5557
-- Precision: 100.0
-- Recall: 93.3333
-- Gen Len: 12.7969
-- Err: 56.9892
+- Loss: 0.2451
+- Bleu Score: 75.278
+- Gen Len: 13.1552
 
 ## Model description
 
@@ -47,23 +41,23 @@ The following hyperparameters were used during training:
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - num_epochs: 4
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Bleu Score | Precision | Recall  | Gen Len | Err     |
-|:-------------:|:-----:|:----:|:---------------:|:----------:|:---------:|:-------:|:-------:|:-------:|
-| 0.4672        | 1.0   | 419  | 0.2390          | 76.7871    | 100.0     | 100.0   | 12.8292 | 49.7013 |
-| 0.1742        | 2.0   | 838  | 0.2173          | 77.9698    | 100.0     | 93.3333 | 12.8076 | 54.0024 |
-| 0.0814        | 3.0   | 1257 | 0.2010          | 79.204     | 100.0     | 93.3333 | 12.7754 | 56.6308 |
-| 0.0382        | 4.0   | 1676 | 0.2324          | 79.5557    | 100.0     | 93.3333 | 12.7969 | 56.9892 |
+| Training Loss | Epoch | Step | Validation Loss | Bleu Score | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:----------:|:-------:|
+| 0.4411        | 1.0   | 524  | 0.2312          | 73.1491    | 13.12   |
+| 0.1622        | 2.0   | 1048 | 0.2092          | 75.0481    | 13.1686 |
+| 0.0756        | 3.0   | 1572 | 0.2150          | 75.2373    | 13.16   |
+| 0.0336        | 4.0   | 2096 | 0.2451          | 75.278     | 13.1552 |
 
 
 ### Framework versions
 
-- Transformers 4.45.1
-- Pytorch 2.4.1+cu121
-- Datasets 3.0.1
-- Tokenizers 0.20.0
+- Transformers 4.46.1
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.2

generation_config.json

@@ -2,5 +2,5 @@
   "decoder_start_token_id": 0,
   "eos_token_id": 1,
   "pad_token_id": 0,
-  "transformers_version": "4.45.1"
+  "transformers_version": "4.46.1"
 }

logs/events.out.tfevents.1730776374.a52ee00f430c.3635.0

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