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Virus-Proton
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Bn_GEDC

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Safetensors
mbart
text2text-generation
Generated from Trainer
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Virus-Proton/Bn_GEDC

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  1. README.md +113 -0
  2. generation_config.json +11 -0
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: facebook/mbart-large-50
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - wer
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+ - bleu
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+ model-index:
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+ - name: Bn_GEDC
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # Bn_GEDC
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+
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+ This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1584
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+ - Wer: 0.285
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+ - Bleu: 0.525
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: reduce_lr_on_plateau
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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer | Bleu |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-----:|:-----:|
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+ | 1.514 | 0.016 | 500 | 0.0705 | 0.132 | 0.705 |
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+ | 0.1289 | 0.032 | 1000 | 0.0761 | 0.129 | 0.712 |
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+ | 0.102 | 0.048 | 1500 | 0.0756 | 0.128 | 0.709 |
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+ | 0.0909 | 0.064 | 2000 | 0.0768 | 0.132 | 0.702 |
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+ | 0.074 | 0.08 | 2500 | 0.0808 | 0.13 | 0.706 |
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+ | 0.0685 | 0.096 | 3000 | 0.0821 | 0.132 | 0.692 |
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+ | 0.0609 | 0.112 | 3500 | 0.0858 | 0.134 | 0.695 |
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+ | 0.1022 | 0.128 | 4000 | 0.1186 | 0.293 | 0.535 |
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+ | 0.0532 | 0.144 | 4500 | 0.1323 | 0.288 | 0.538 |
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+ | 0.0498 | 0.16 | 5000 | 0.1254 | 0.276 | 0.549 |
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+ | 0.0477 | 0.176 | 5500 | 0.1310 | 0.27 | 0.554 |
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+ | 0.0459 | 0.192 | 6000 | 0.1391 | 0.267 | 0.559 |
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+ | 0.0447 | 0.208 | 6500 | 0.1300 | 0.278 | 0.545 |
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+ | 0.0418 | 0.224 | 7000 | 0.1243 | 0.263 | 0.571 |
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+ | 0.0403 | 0.24 | 7500 | 0.1288 | 0.275 | 0.549 |
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+ | 0.038 | 0.256 | 8000 | 0.1315 | 0.278 | 0.547 |
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+ | 0.0382 | 0.272 | 8500 | 0.1345 | 0.276 | 0.545 |
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+ | 0.0372 | 0.288 | 9000 | 0.1381 | 0.29 | 0.528 |
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+ | 0.0345 | 0.304 | 9500 | 0.1348 | 0.3 | 0.521 |
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+ | 0.0361 | 0.32 | 10000 | 0.1342 | 0.274 | 0.548 |
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+ | 0.0334 | 0.336 | 10500 | 0.1322 | 0.285 | 0.532 |
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+ | 0.0332 | 0.352 | 11000 | 0.1346 | 0.299 | 0.525 |
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+ | 0.0327 | 0.368 | 11500 | 0.1355 | 0.317 | 0.507 |
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+ | 0.0323 | 0.384 | 12000 | 0.1368 | 0.293 | 0.525 |
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+ | 0.0317 | 0.4 | 12500 | 0.1437 | 0.287 | 0.529 |
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+ | 0.03 | 0.416 | 13000 | 0.1419 | 0.322 | 0.499 |
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+ | 0.0299 | 0.432 | 13500 | 0.1427 | 0.315 | 0.503 |
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+ | 0.0289 | 0.448 | 14000 | 0.1461 | 0.291 | 0.525 |
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+ | 0.0292 | 0.464 | 14500 | 0.1512 | 0.297 | 0.516 |
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+ | 0.029 | 0.48 | 15000 | 0.1518 | 0.308 | 0.506 |
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+ | 0.0277 | 0.496 | 15500 | 0.1533 | 0.3 | 0.514 |
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+ | 0.0285 | 0.512 | 16000 | 0.1550 | 0.28 | 0.532 |
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+ | 0.0271 | 0.528 | 16500 | 0.1484 | 0.29 | 0.525 |
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+ | 0.0272 | 0.544 | 17000 | 0.1490 | 0.293 | 0.522 |
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+ | 0.0267 | 0.56 | 17500 | 0.1535 | 0.284 | 0.527 |
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+ | 0.0271 | 0.576 | 18000 | 0.1547 | 0.278 | 0.532 |
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+ | 0.0256 | 0.592 | 18500 | 0.1553 | 0.3 | 0.513 |
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+ | 0.024 | 0.608 | 19000 | 0.1559 | 0.29 | 0.523 |
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+ | 0.0236 | 0.624 | 19500 | 0.1553 | 0.289 | 0.523 |
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+ | 0.0233 | 0.64 | 20000 | 0.1552 | 0.289 | 0.525 |
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+ | 0.022 | 0.656 | 20500 | 0.1565 | 0.288 | 0.525 |
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+ | 0.0222 | 0.672 | 21000 | 0.1568 | 0.288 | 0.522 |
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+ | 0.022 | 0.688 | 21500 | 0.1564 | 0.286 | 0.525 |
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+ | 0.0215 | 0.704 | 22000 | 0.1575 | 0.285 | 0.527 |
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+ | 0.0216 | 0.72 | 22500 | 0.1569 | 0.289 | 0.523 |
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+ | 0.0213 | 0.736 | 23000 | 0.1580 | 0.288 | 0.522 |
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+ | 0.0218 | 0.752 | 23500 | 0.1581 | 0.286 | 0.525 |
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+ | 0.0208 | 0.768 | 24000 | 0.1584 | 0.286 | 0.524 |
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+ | 0.0212 | 0.784 | 24500 | 0.1581 | 0.287 | 0.523 |
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+ | 0.0203 | 0.8 | 25000 | 0.1583 | 0.285 | 0.525 |
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+ | 0.0205 | 0.816 | 25500 | 0.1584 | 0.286 | 0.524 |
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+ | 0.0204 | 0.832 | 26000 | 0.1584 | 0.285 | 0.525 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
generation_config.json ADDED
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+ {
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+ "bos_token_id": 0,
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+ "decoder_start_token_id": 2,
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+ "early_stopping": true,
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+ "eos_token_id": 2,
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+ "forced_eos_token_id": 2,
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+ "max_length": 200,
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+ "num_beams": 5,
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+ "pad_token_id": 1,
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+ "transformers_version": "4.40.2"
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+ }
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