End of training

README.md

@@ -1,28 +1,27 @@
 ---
 library_name: transformers
+base_model: Samuael/ethiopic-sec2sec-tigrinya
 tags:
 - generated_from_trainer
+metrics:
+- wer
+- bleu
 model-index:
-- name: ethipic-sec2sec-tigrinya
+- name: ethiopic-sec2sec-tigrinya
   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. -->
 
-# ethipic-sec2sec-tigrinya
+# ethiopic-sec2sec-tigrinya
 
-This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+This model is a fine-tuned version of [Samuael/ethiopic-sec2sec-tigrinya](https://huggingface.co/Samuael/ethiopic-sec2sec-tigrinya) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.1009
-- eval_wer: 0.0416
-- eval_cer: 0.0113
-- eval_bleu: 91.6015
-- eval_runtime: 30.3787
-- eval_samples_per_second: 9.842
-- eval_steps_per_second: 0.099
-- epoch: 4.0
-- step: 51000
+- Loss: 3.5557
+- Wer: 0.2489
+- Cer: 0.1202
+- Bleu: 67.5274
 
 ## Model description
 
@@ -45,14 +44,21 @@ The following hyperparameters were used during training:
 - train_batch_size: 64
 - eval_batch_size: 128
 - 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: 10
+- num_epochs: 1
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    | Bleu    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:-------:|
+| 0.071         | 1.0   | 433  | 3.5557          | 0.2489 | 0.1202 | 67.5274 |
+
+
 ### Framework versions
 
-- Transformers 4.44.2
-- Pytorch 2.5.0+cu121
-- Datasets 3.0.2
-- Tokenizers 0.19.1
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

@@ -3,5 +3,5 @@
   "eos_token_id": 3,
   "max_length": 512,
   "pad_token_id": 0,
-  "transformers_version": "4.44.2"
+  "transformers_version": "4.46.3"
 }