Instructions to use vania2911/2120mslsamples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vania2911/2120mslsamples with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vania2911/2120mslsamples") model = AutoModelForSeq2SeqLM.from_pretrained("vania2911/2120mslsamples", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: Helsinki-NLP/opus-mt-es-es
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tags:
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- generated_from_trainer
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model-index:
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- name: 2120mslsamples
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results: []
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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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# 2120mslsamples
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-es](https://huggingface.co/Helsinki-NLP/opus-mt-es-es) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4982
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- Bleu Msl: 79.5487
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- Bleu Asl: 0
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- Ter Msl: 11.4533
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- Ter Asl: 100
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 32
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 30
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu Msl | Bleu Asl | Ter Msl | Ter Asl |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-------:|:-------:|
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| No log | 1.0 | 67 | 1.0924 | 16.5734 | 0 | 78.3784 | 100 |
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| No log | 2.0 | 134 | 0.5283 | 66.9864 | 0 | 17.2037 | 100 |
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| No log | 3.0 | 201 | 0.4500 | 32.7340 | 0 | 24.8960 | 100 |
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| No log | 4.0 | 268 | 0.4546 | 64.2241 | 0 | 17.0998 | 100 |
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| No log | 5.0 | 335 | 0.4371 | 79.5661 | 0 | 12.3181 | 100 |
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| No log | 6.0 | 402 | 0.4183 | 62.3356 | 0 | 12.4740 | 100 |
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| No log | 7.0 | 469 | 0.4174 | 78.8409 | 0 | 12.2141 | 100 |
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| 0.5741 | 8.0 | 536 | 0.4236 | 73.4058 | 0 | 13.0977 | 100 |
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| 0.5741 | 9.0 | 603 | 0.4365 | 80.4263 | 0 | 11.6424 | 100 |
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| 0.5741 | 10.0 | 670 | 0.4230 | 78.2192 | 0 | 11.5904 | 100 |
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| 0.5741 | 11.0 | 737 | 0.4461 | 81.5222 | 0 | 11.0187 | 100 |
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| 0.5741 | 12.0 | 804 | 0.4361 | 81.0763 | 0 | 10.8108 | 100 |
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| 0.5741 | 13.0 | 871 | 0.4462 | 80.2271 | 0 | 11.4345 | 100 |
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| 0.5741 | 14.0 | 938 | 0.4487 | 81.2932 | 0 | 10.0832 | 100 |
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| 0.0399 | 15.0 | 1005 | 0.4535 | 82.0574 | 0 | 10.1351 | 100 |
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| 0.0399 | 16.0 | 1072 | 0.4561 | 81.1900 | 0 | 10.7069 | 100 |
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| 0.0399 | 17.0 | 1139 | 0.4498 | 80.5848 | 0 | 10.3430 | 100 |
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| 0.0399 | 18.0 | 1206 | 0.4704 | 81.2086 | 0 | 10.4470 | 100 |
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| 0.0399 | 19.0 | 1273 | 0.4780 | 83.3481 | 0 | 9.7713 | 100 |
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| 0.0399 | 20.0 | 1340 | 0.4697 | 82.5737 | 0 | 9.8753 | 100 |
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| 0.0399 | 21.0 | 1407 | 0.4675 | 82.5187 | 0 | 9.8753 | 100 |
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| 0.0399 | 22.0 | 1474 | 0.4678 | 82.9501 | 0 | 10.0312 | 100 |
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| 0.0155 | 23.0 | 1541 | 0.4708 | 82.3160 | 0 | 9.9792 | 100 |
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| 0.0155 | 24.0 | 1608 | 0.4732 | 82.1759 | 0 | 10.0832 | 100 |
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| 0.0155 | 25.0 | 1675 | 0.4777 | 82.5015 | 0 | 9.8233 | 100 |
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| 0.0155 | 26.0 | 1742 | 0.4723 | 81.7682 | 0 | 10.1351 | 100 |
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| 0.0155 | 27.0 | 1809 | 0.4755 | 82.1104 | 0 | 9.9792 | 100 |
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| 0.0155 | 28.0 | 1876 | 0.4763 | 82.2547 | 0 | 10.1351 | 100 |
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| 0.0155 | 29.0 | 1943 | 0.4756 | 82.2633 | 0 | 10.0832 | 100 |
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| 0.01 | 30.0 | 2010 | 0.4761 | 82.2721 | 0 | 10.0312 | 100 |
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### Framework versions
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- Transformers 4.49.0
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- Pytorch 2.5.1+cu124
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- Datasets 3.3.2
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- Tokenizers 0.21.0
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generation_config.json
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{
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"bad_words_ids": [
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[
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33252
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]
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],
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"bos_token_id": 0,
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"decoder_start_token_id": 33252,
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"eos_token_id": 0,
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"forced_eos_token_id": 0,
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"max_length": 512,
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"num_beams": 4,
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"pad_token_id": 33252,
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"renormalize_logits": true,
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"transformers_version": "4.49.0"
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}
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model.safetensors
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size 244826404
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runs/Mar07_15-39-59_c406c4a52f38/events.out.tfevents.1741362005.c406c4a52f38.348.0
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