End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ad019el/tamasheq-99-1](https://huggingface.co/ad019el/tamasheq-99-1) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3479
-- Wer: 0.4957
+- Loss: 1.3783
+- Wer: 0.8147
 
 ## Model description
 
@@ -46,22 +46,23 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 30
+- num_epochs: 200
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 4.3118        | 6.0   | 300  | 0.8477          | 0.8593 |
-| 0.4823        | 12.0  | 600  | 0.3741          | 0.5064 |
-| 0.2054        | 18.0  | 900  | 0.3855          | 0.5027 |
-| 0.1798        | 24.0  | 1200 | 0.3700          | 0.5023 |
-| 0.2097        | 30.0  | 1500 | 0.3479          | 0.4957 |
+| 7.9063        | 7.89  | 300  | 3.0656          | 1.0    |
+| 2.7952        | 15.79 | 600  | 1.7388          | 0.9324 |
+| 1.2354        | 23.68 | 900  | 1.0927          | 0.8618 |
+| 0.8131        | 31.58 | 1200 | 1.1919          | 0.8618 |
+| 0.6311        | 39.47 | 1500 | 1.2800          | 0.8559 |
+| 0.5422        | 47.37 | 1800 | 1.3783          | 0.8147 |
 
 
 ### Framework versions
 
-- Transformers 4.31.0
+- Transformers 4.32.1
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.4
 - Tokenizers 0.13.3

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:3c8feeefdbe72b0a41e30cab1e9d5ad58ac42c840f45f190ecf4c1b58c59fc93
 size 1262086317