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facebook_nllb-200-distilled-600m_text2sparql
InfAI/facebook_nllb-200-distilled-600m_text2sparql
facebook_nllb-200-distilled-600m_text2sparql is a machine learning model from InfAI. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- m2m_100
- Access
- Public
- Created
- Feb 21, 2024
- Updated
- Feb 21, 2024
- SHA
- a9e8c9b4
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
facebook_nllb-200-distilled-600M_text2sparql
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2092
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|
| No log | 1.0 | 12 | 1.7982 |
| No log | 2.0 | 24 | 0.5266 |
| No log | 3.0 | 36 | 0.2833 |
| No log | 4.0 | 48 | 0.2299 |
| No log | 5.0 | 60 | 0.2088 |
| No log | 6.0 | 72 | 0.2297 |
| No log | 7.0 | 84 | 0.2089 |
| No log | 8.0 | 96 | 0.2013 |
| No log | 9.0 | 108 | 0.1952 |
| No log | 10.0 | 120 | 0.2037 |
| No log | 11.0 | 132 | 0.2145 |
| No log | 12.0 | 144 | 0.2064 |
| No log | 13.0 | 156 | 0.2117 |
| No log | 14.0 | 168 | 0.2147 |
| No log | 15.0 | 180 | 0.2153 |
| No log | 16.0 | 192 | 0.2146 |
| No log | 17.0 | 204 | 0.2152 |
| No log | 18.0 | 216 | 0.2123 |
| No log | 19.0 | 228 | 0.2145 |
| No log | 20.0 | 240 | 0.2121 |
| No log | 21.0 | 252 | 0.2044 |
| No log | 22.0 | 264 | 0.2132 |
| No log | 23.0 | 276 | 0.2161 |
| No log | 24.0 | 288 | 0.2141 |
| No log | 25.0 | 300 | 0.2109 |
| No log | 26.0 | 312 | 0.2034 |
| No log | 27.0 | 324 | 0.2068 |
| No log | 28.0 | 336 | 0.2101 |
| No log | 29.0 | 348 | 0.2110 |
| No log | 30.0 | 360 | 0.2141 |
| No log | 31.0 | 372 | 0.2141 |
| No log | 32.0 | 384 | 0.2124 |
| No log | 33.0 | 396 | 0.2115 |
| No log | 34.0 | 408 | 0.2095 |
| No log | 35.0 | 420 | 0.2068 |
| No log | 36.0 | 432 | 0.2027 |
| No log | 37.0 | 444 | 0.2030 |
| No log | 38.0 | 456 | 0.2043 |
| No log | 39.0 | 468 | 0.2067 |
| No log | 40.0 | 480 | 0.2076 |
| No log | 41.0 | 492 | 0.2067 |
| 0.1497 | 42.0 | 504 | 0.2076 |
| 0.1497 | 43.0 | 516 | 0.2089 |
| 0.1497 | 44.0 | 528 | 0.2098 |
| 0.1497 | 45.0 | 540 | 0.2096 |
| 0.1497 | 46.0 | 552 | 0.2090 |
| 0.1497 | 47.0 | 564 | 0.2089 |
| 0.1497 | 48.0 | 576 | 0.2090 |
| 0.1497 | 49.0 | 588 | 0.2095 |
| 0.1497 | 50.0 | 600 | 0.2092 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- m2m_100
- License
- cc-by-nc-4.0
- Created
- Feb 21, 2024
- Updated
- Feb 21, 2024