Instructions to use Samuael/amBART_1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Samuael/amBART_1000 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Samuael/amBART_1000") model = AutoModelForSeq2SeqLM.from_pretrained("Samuael/amBART_1000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Samuael/amBART_1000
Browse files- README.md +109 -198
- config.json +2 -1
- generation_config.json +8 -0
- model.safetensors +2 -2
- special_tokens_map.json +66 -7
- tokenizer_config.json +24 -2
- training_args.bin +3 -0
README.md
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### Testing Data, Factors & Metrics
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#### Testing Data
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[More Information Needed]
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#### Factors
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#### Metrics
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### Results
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#### Summary
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## Model Examination [optional]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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#### Software
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## Citation [optional]
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**BibTeX:**
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**APA:**
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## Glossary [optional]
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## More Information [optional]
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## Model Card Authors [optional]
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---
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base_model: Samuael/amBART_1000
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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: amBART_1000
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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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# amBART_1000
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This model is a fine-tuned version of [Samuael/amBART_1000](https://huggingface.co/Samuael/amBART_1000) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.9045
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- Wer: 1.0
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- Cer: 0.9495
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- Bleu: 0.0
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- Lr: 0.002
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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: 0.002
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- train_batch_size: 256
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- eval_batch_size: 256
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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: linear
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Bleu | Lr |
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|:-------------:|:-----:|:-----:|:---------------:|:---:|:------:|:----:|:-----:|
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| 5.9705 | 1.0 | 355 | 5.9604 | 1.0 | 0.9493 | 0.0 | 0.002 |
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| 5.9676 | 2.0 | 710 | 5.9745 | 1.0 | 0.9931 | 0.0 | 0.002 |
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| 5.9393 | 3.0 | 1065 | 6.0382 | 1.0 | 5.0803 | 0.0 | 0.002 |
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| 5.9333 | 4.0 | 1420 | 5.9475 | 1.0 | 0.9820 | 0.0 | 0.002 |
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| 5.9306 | 5.0 | 1775 | 5.9335 | 1.0 | 0.9482 | 0.0 | 0.002 |
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| 5.9325 | 6.0 | 2130 | 5.9373 | 1.0 | 0.9481 | 0.0 | 0.002 |
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| 5.9357 | 7.0 | 2485 | 5.9318 | 1.0 | 0.9455 | 0.0 | 0.002 |
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| 5.9322 | 8.0 | 2840 | 5.9258 | 1.0 | 0.9489 | 0.0 | 0.002 |
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| 6.0007 | 9.0 | 3195 | 5.9377 | 1.0 | 0.9489 | 0.0 | 0.002 |
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| 5.9307 | 10.0 | 3550 | 5.9205 | 1.0 | 0.9492 | 0.0 | 0.002 |
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| 6.1062 | 11.0 | 3905 | 6.0221 | 1.0 | 1.8150 | 0.0 | 0.002 |
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| 5.9387 | 12.0 | 4260 | 5.9210 | 1.0 | 0.9456 | 0.0 | 0.002 |
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| 5.92 | 13.0 | 4615 | 5.9182 | 1.0 | 0.9488 | 0.0 | 0.002 |
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| 5.9279 | 14.0 | 4970 | 5.9472 | 1.0 | 0.9463 | 0.0 | 0.002 |
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| 5.918 | 15.0 | 5325 | 5.9202 | 1.0 | 0.9509 | 0.0 | 0.002 |
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| 5.9172 | 16.0 | 5680 | 5.9145 | 1.0 | 0.9457 | 0.0 | 0.002 |
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| 5.9152 | 17.0 | 6035 | 5.9182 | 1.0 | 0.9689 | 0.0 | 0.002 |
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| 5.9296 | 18.0 | 6390 | 5.9260 | 1.0 | 0.9631 | 0.0 | 0.002 |
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| 5.9299 | 19.0 | 6745 | 5.9467 | 1.0 | 0.9479 | 0.0 | 0.002 |
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| 5.9271 | 20.0 | 7100 | 5.9229 | 1.0 | 0.9474 | 0.0 | 0.002 |
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| 5.9303 | 21.0 | 7455 | 5.9263 | 1.0 | 0.9458 | 0.0 | 0.002 |
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| 5.9337 | 22.0 | 7810 | 5.9329 | 1.0 | 0.9469 | 0.0 | 0.002 |
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| 5.9339 | 23.0 | 8165 | 5.9282 | 1.0 | 0.9559 | 0.0 | 0.002 |
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| 5.927 | 24.0 | 8520 | 5.9249 | 1.0 | 0.9502 | 0.0 | 0.002 |
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| 5.9256 | 25.0 | 8875 | 5.9251 | 1.0 | 0.9528 | 0.0 | 0.002 |
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| 5.9262 | 26.0 | 9230 | 5.9291 | 1.0 | 0.9642 | 0.0 | 0.002 |
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| 5.9234 | 27.0 | 9585 | 5.9202 | 1.0 | 0.9468 | 0.0 | 0.002 |
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| 5.9298 | 28.0 | 9940 | 5.9254 | 1.0 | 0.9511 | 0.0 | 0.002 |
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| 5.9247 | 29.0 | 10295 | 5.9160 | 1.0 | 0.9476 | 0.0 | 0.002 |
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| 5.9283 | 30.0 | 10650 | 5.9233 | 1.0 | 0.9550 | 0.0 | 0.002 |
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| 5.9286 | 31.0 | 11005 | 5.9173 | 1.0 | 0.9548 | 0.0 | 0.002 |
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| 5.9182 | 32.0 | 11360 | 5.9135 | 1.0 | 0.9542 | 0.0 | 0.002 |
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| 5.9136 | 33.0 | 11715 | 5.9101 | 1.0 | 0.9532 | 0.0 | 0.002 |
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| 5.9128 | 34.0 | 12070 | 5.9138 | 1.0 | 0.9536 | 0.0 | 0.002 |
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| 5.9156 | 35.0 | 12425 | 5.9117 | 1.0 | 0.9517 | 0.0 | 0.002 |
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| 5.9173 | 36.0 | 12780 | 5.9085 | 1.0 | 0.9508 | 0.0 | 0.002 |
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| 5.9121 | 37.0 | 13135 | 5.9086 | 1.0 | 0.9529 | 0.0 | 0.002 |
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| 5.9101 | 38.0 | 13490 | 5.9095 | 1.0 | 0.9630 | 0.0 | 0.002 |
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| 5.9123 | 39.0 | 13845 | 5.9076 | 1.0 | 0.9515 | 0.0 | 0.002 |
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| 5.9127 | 40.0 | 14200 | 5.9082 | 1.0 | 0.9540 | 0.0 | 0.002 |
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| 5.9148 | 41.0 | 14555 | 5.9080 | 1.0 | 0.9518 | 0.0 | 0.002 |
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| 5.9136 | 42.0 | 14910 | 5.9073 | 1.0 | 0.9488 | 0.0 | 0.002 |
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| 5.9097 | 43.0 | 15265 | 5.9070 | 1.0 | 0.9487 | 0.0 | 0.002 |
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| 5.9117 | 44.0 | 15620 | 5.9066 | 1.0 | 0.9504 | 0.0 | 0.002 |
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| 5.9115 | 45.0 | 15975 | 5.9080 | 1.0 | 0.9477 | 0.0 | 0.002 |
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| 5.9104 | 46.0 | 16330 | 5.9064 | 1.0 | 0.9487 | 0.0 | 0.002 |
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| 5.9114 | 47.0 | 16685 | 5.9044 | 1.0 | 0.9485 | 0.0 | 0.002 |
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| 5.9067 | 48.0 | 17040 | 5.9045 | 1.0 | 0.9488 | 0.0 | 0.002 |
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| 5.9085 | 49.0 | 17395 | 5.9047 | 1.0 | 0.9486 | 0.0 | 0.002 |
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| 5.9104 | 50.0 | 17750 | 5.9045 | 1.0 | 0.9495 | 0.0 | 0.002 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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config.json
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{
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"activation_dropout": 0.05,
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"activation_function": "gelu",
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"architectures": [
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],
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"attention_dropout": 0.05,
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"bos_token_id": 0,
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{
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"_name_or_path": "Samuael/amBART_1000",
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"activation_dropout": 0.05,
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"activation_function": "gelu",
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"architectures": [
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"MBartForConditionalGeneration"
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],
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"attention_dropout": 0.05,
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"bos_token_id": 0,
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{
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"eos_token_id": 2,
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"forced_eos_token_id": 2,
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"max_length": 300,
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"pad_token_id": 1,
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"transformers_version": "4.38.2"
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}
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:f9e391343f4c512ac2078e3baac43581cc4de5b124e7cb5cdeae176cc054bc14
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size 180813204
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special_tokens_map.json
CHANGED
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@@ -1,12 +1,71 @@
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{
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"additional_special_tokens": [
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"ar_AR",
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"cs_CZ"
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],
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"bos_token":
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}
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{
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"additional_special_tokens": [
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"ar_AR",
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+
"cs_CZ",
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+
"de_DE",
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+
"en_XX",
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"es_XX",
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+
"et_EE",
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+
"fi_FI",
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+
"fr_XX",
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"gu_IN",
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"hi_IN",
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"it_IT",
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"ja_XX",
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"kk_KZ",
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+
"ko_KR",
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"lt_LT",
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+
"lv_LV",
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"my_MM",
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"ne_NP",
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"nl_XX",
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+
"ro_RO",
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"ru_RU",
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"si_LK",
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"tr_TR",
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+
"vi_VN",
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+
"zh_CN"
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],
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+
"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"cls_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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+
"single_word": false
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},
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"sep_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer_config.json
CHANGED
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@@ -235,7 +235,30 @@
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},
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| 236 |
"additional_special_tokens": [
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"ar_AR",
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-
"cs_CZ"
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],
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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@@ -249,6 +272,5 @@
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"src_lang": "ar_AR",
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"tgt_lang": "cs_CZ",
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"tokenizer_class": "MBartTokenizer",
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-
"tokenizer_file": null,
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"unk_token": "<unk>"
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}
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},
|
| 236 |
"additional_special_tokens": [
|
| 237 |
"ar_AR",
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| 238 |
+
"cs_CZ",
|
| 239 |
+
"de_DE",
|
| 240 |
+
"en_XX",
|
| 241 |
+
"es_XX",
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| 242 |
+
"et_EE",
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| 243 |
+
"fi_FI",
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| 244 |
+
"fr_XX",
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| 245 |
+
"gu_IN",
|
| 246 |
+
"hi_IN",
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| 247 |
+
"it_IT",
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| 248 |
+
"ja_XX",
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| 249 |
+
"kk_KZ",
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| 250 |
+
"ko_KR",
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| 251 |
+
"lt_LT",
|
| 252 |
+
"lv_LV",
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| 253 |
+
"my_MM",
|
| 254 |
+
"ne_NP",
|
| 255 |
+
"nl_XX",
|
| 256 |
+
"ro_RO",
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| 257 |
+
"ru_RU",
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| 258 |
+
"si_LK",
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| 259 |
+
"tr_TR",
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| 260 |
+
"vi_VN",
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| 261 |
+
"zh_CN"
|
| 262 |
],
|
| 263 |
"bos_token": "<s>",
|
| 264 |
"clean_up_tokenization_spaces": true,
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|
|
|
| 272 |
"src_lang": "ar_AR",
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| 273 |
"tgt_lang": "cs_CZ",
|
| 274 |
"tokenizer_class": "MBartTokenizer",
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|
|
|
| 275 |
"unk_token": "<unk>"
|
| 276 |
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a9712bce830cd935a0b20fa941916331ae0a1c17b800422168925d7236676a92
|
| 3 |
+
size 4984
|