End of training

README.md

@@ -2,6 +2,9 @@
 base_model: Samuael/geez_t5-15k
 tags:
 - generated_from_trainer
+metrics:
+- wer
+- bleu
 model-index:
 - name: geez_t5-15k
   results: []
@@ -14,15 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Samuael/geez_t5-15k](https://huggingface.co/Samuael/geez_t5-15k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.8705
-- eval_wer: 0.2496
-- eval_cer: 0.0611
-- eval_bleu: 58.7703
-- eval_runtime: 36.6498
-- eval_samples_per_second: 9.795
-- eval_steps_per_second: 0.164
-- epoch: 1.0
-- step: 1421
+- Loss: 1.1428
+- Wer: 0.2368
+- Cer: 0.0611
+- Bleu: 59.1856
 
 ## Model description
 
@@ -47,9 +45,25 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 50
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer    | Cer    | Bleu    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:-------:|
+| 0.1721        | 1.0   | 1421  | 1.0128          | 0.2445 | 0.0640 | 58.5313 |
+| 0.3157        | 2.0   | 2842  | 0.9088          | 0.2409 | 0.0625 | 59.1274 |
+| 0.1958        | 3.0   | 4263  | 0.9950          | 0.2474 | 0.0617 | 58.7017 |
+| 0.2275        | 4.0   | 5684  | 1.0075          | 0.2522 | 0.0638 | 58.2146 |
+| 0.1139        | 5.0   | 7105  | 1.0297          | 0.2411 | 0.0607 | 59.7241 |
+| 0.1243        | 6.0   | 8526  | 1.0343          | 0.2360 | 0.0608 | 59.9537 |
+| 0.18          | 7.0   | 9947  | 1.0373          | 0.2423 | 0.0617 | 59.0538 |
+| 0.1281        | 8.0   | 11368 | 1.1003          | 0.2344 | 0.0605 | 59.8118 |
+| 0.1276        | 9.0   | 12789 | 1.1061          | 0.2385 | 0.0611 | 59.1765 |
+| 0.1128        | 10.0  | 14210 | 1.1428          | 0.2368 | 0.0611 | 59.1856 |
+
+
 ### Framework versions
 
 - Transformers 4.38.2

model.safetensors

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 size 240738368

runs/Mar21_22-55-40_dd8c1793ed55/events.out.tfevents.1711061814.dd8c1793ed55.713.1

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