Samuael/amBART_1000

README.md

@@ -2,9 +2,6 @@
 base_model: Samuael/amBART_1000
 tags:
 - generated_from_trainer
-metrics:
-- wer
-- bleu
 model-index:
 - name: amBART_1000
   results: []
@@ -16,12 +13,6 @@ should probably proofread and complete it, then remove this comment. -->
 # amBART_1000
 
 This model is a fine-tuned version of [Samuael/amBART_1000](https://huggingface.co/Samuael/amBART_1000) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 5.9045
-- Wer: 1.0
-- Cer: 0.9495
-- Bleu: 0.0
-- Lr: 0.002
 
 ## Model description
 
@@ -40,69 +31,13 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.002
+- learning_rate: 0.02
 - train_batch_size: 256
 - eval_batch_size: 256
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 50
-
-### Training results
-
-| Training Loss | Epoch | Step  | Validation Loss | Wer | Cer    | Bleu | Lr    |
-|:-------------:|:-----:|:-----:|:---------------:|:---:|:------:|:----:|:-----:|
-| 5.9705        | 1.0   | 355   | 5.9604          | 1.0 | 0.9493 | 0.0  | 0.002 |
-| 5.9676        | 2.0   | 710   | 5.9745          | 1.0 | 0.9931 | 0.0  | 0.002 |
-| 5.9393        | 3.0   | 1065  | 6.0382          | 1.0 | 5.0803 | 0.0  | 0.002 |
-| 5.9333        | 4.0   | 1420  | 5.9475          | 1.0 | 0.9820 | 0.0  | 0.002 |
-| 5.9306        | 5.0   | 1775  | 5.9335          | 1.0 | 0.9482 | 0.0  | 0.002 |
-| 5.9325        | 6.0   | 2130  | 5.9373          | 1.0 | 0.9481 | 0.0  | 0.002 |
-| 5.9357        | 7.0   | 2485  | 5.9318          | 1.0 | 0.9455 | 0.0  | 0.002 |
-| 5.9322        | 8.0   | 2840  | 5.9258          | 1.0 | 0.9489 | 0.0  | 0.002 |
-| 6.0007        | 9.0   | 3195  | 5.9377          | 1.0 | 0.9489 | 0.0  | 0.002 |
-| 5.9307        | 10.0  | 3550  | 5.9205          | 1.0 | 0.9492 | 0.0  | 0.002 |
-| 6.1062        | 11.0  | 3905  | 6.0221          | 1.0 | 1.8150 | 0.0  | 0.002 |
-| 5.9387        | 12.0  | 4260  | 5.9210          | 1.0 | 0.9456 | 0.0  | 0.002 |
-| 5.92          | 13.0  | 4615  | 5.9182          | 1.0 | 0.9488 | 0.0  | 0.002 |
-| 5.9279        | 14.0  | 4970  | 5.9472          | 1.0 | 0.9463 | 0.0  | 0.002 |
-| 5.918         | 15.0  | 5325  | 5.9202          | 1.0 | 0.9509 | 0.0  | 0.002 |
-| 5.9172        | 16.0  | 5680  | 5.9145          | 1.0 | 0.9457 | 0.0  | 0.002 |
-| 5.9152        | 17.0  | 6035  | 5.9182          | 1.0 | 0.9689 | 0.0  | 0.002 |
-| 5.9296        | 18.0  | 6390  | 5.9260          | 1.0 | 0.9631 | 0.0  | 0.002 |
-| 5.9299        | 19.0  | 6745  | 5.9467          | 1.0 | 0.9479 | 0.0  | 0.002 |
-| 5.9271        | 20.0  | 7100  | 5.9229          | 1.0 | 0.9474 | 0.0  | 0.002 |
-| 5.9303        | 21.0  | 7455  | 5.9263          | 1.0 | 0.9458 | 0.0  | 0.002 |
-| 5.9337        | 22.0  | 7810  | 5.9329          | 1.0 | 0.9469 | 0.0  | 0.002 |
-| 5.9339        | 23.0  | 8165  | 5.9282          | 1.0 | 0.9559 | 0.0  | 0.002 |
-| 5.927         | 24.0  | 8520  | 5.9249          | 1.0 | 0.9502 | 0.0  | 0.002 |
-| 5.9256        | 25.0  | 8875  | 5.9251          | 1.0 | 0.9528 | 0.0  | 0.002 |
-| 5.9262        | 26.0  | 9230  | 5.9291          | 1.0 | 0.9642 | 0.0  | 0.002 |
-| 5.9234        | 27.0  | 9585  | 5.9202          | 1.0 | 0.9468 | 0.0  | 0.002 |
-| 5.9298        | 28.0  | 9940  | 5.9254          | 1.0 | 0.9511 | 0.0  | 0.002 |
-| 5.9247        | 29.0  | 10295 | 5.9160          | 1.0 | 0.9476 | 0.0  | 0.002 |
-| 5.9283        | 30.0  | 10650 | 5.9233          | 1.0 | 0.9550 | 0.0  | 0.002 |
-| 5.9286        | 31.0  | 11005 | 5.9173          | 1.0 | 0.9548 | 0.0  | 0.002 |
-| 5.9182        | 32.0  | 11360 | 5.9135          | 1.0 | 0.9542 | 0.0  | 0.002 |
-| 5.9136        | 33.0  | 11715 | 5.9101          | 1.0 | 0.9532 | 0.0  | 0.002 |
-| 5.9128        | 34.0  | 12070 | 5.9138          | 1.0 | 0.9536 | 0.0  | 0.002 |
-| 5.9156        | 35.0  | 12425 | 5.9117          | 1.0 | 0.9517 | 0.0  | 0.002 |
-| 5.9173        | 36.0  | 12780 | 5.9085          | 1.0 | 0.9508 | 0.0  | 0.002 |
-| 5.9121        | 37.0  | 13135 | 5.9086          | 1.0 | 0.9529 | 0.0  | 0.002 |
-| 5.9101        | 38.0  | 13490 | 5.9095          | 1.0 | 0.9630 | 0.0  | 0.002 |
-| 5.9123        | 39.0  | 13845 | 5.9076          | 1.0 | 0.9515 | 0.0  | 0.002 |
-| 5.9127        | 40.0  | 14200 | 5.9082          | 1.0 | 0.9540 | 0.0  | 0.002 |
-| 5.9148        | 41.0  | 14555 | 5.9080          | 1.0 | 0.9518 | 0.0  | 0.002 |
-| 5.9136        | 42.0  | 14910 | 5.9073          | 1.0 | 0.9488 | 0.0  | 0.002 |
-| 5.9097        | 43.0  | 15265 | 5.9070          | 1.0 | 0.9487 | 0.0  | 0.002 |
-| 5.9117        | 44.0  | 15620 | 5.9066          | 1.0 | 0.9504 | 0.0  | 0.002 |
-| 5.9115        | 45.0  | 15975 | 5.9080          | 1.0 | 0.9477 | 0.0  | 0.002 |
-| 5.9104        | 46.0  | 16330 | 5.9064          | 1.0 | 0.9487 | 0.0  | 0.002 |
-| 5.9114        | 47.0  | 16685 | 5.9044          | 1.0 | 0.9485 | 0.0  | 0.002 |
-| 5.9067        | 48.0  | 17040 | 5.9045          | 1.0 | 0.9488 | 0.0  | 0.002 |
-| 5.9085        | 49.0  | 17395 | 5.9047          | 1.0 | 0.9486 | 0.0  | 0.002 |
-| 5.9104        | 50.0  | 17750 | 5.9045          | 1.0 | 0.9495 | 0.0  | 0.002 |
-
+- num_epochs: 10
 
 ### Framework versions
 

model.safetensors

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 size 180813204

training_args.bin

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 version https://git-lfs.github.com/spec/v1
-oid sha256:a9712bce830cd935a0b20fa941916331ae0a1c17b800422168925d7236676a92
+oid sha256:94d077861f2d8111c7750d748d173942efb47dfb53e0755cbb758072ce40dc9b
 size 4984