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--- |
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license: cc-by-nc-4.0 |
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base_model: facebook/nllb-200-distilled-600M |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: facebook_nllb-200-distilled-600M_text2sparql |
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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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# facebook_nllb-200-distilled-600M_text2sparql |
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This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2092 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 12 | 1.7982 | |
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| No log | 2.0 | 24 | 0.5266 | |
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| No log | 3.0 | 36 | 0.2833 | |
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| No log | 4.0 | 48 | 0.2299 | |
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| No log | 5.0 | 60 | 0.2088 | |
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| No log | 6.0 | 72 | 0.2297 | |
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| No log | 7.0 | 84 | 0.2089 | |
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| No log | 8.0 | 96 | 0.2013 | |
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| No log | 9.0 | 108 | 0.1952 | |
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| No log | 10.0 | 120 | 0.2037 | |
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| No log | 11.0 | 132 | 0.2145 | |
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| No log | 12.0 | 144 | 0.2064 | |
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| No log | 13.0 | 156 | 0.2117 | |
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| No log | 14.0 | 168 | 0.2147 | |
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| No log | 15.0 | 180 | 0.2153 | |
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| No log | 16.0 | 192 | 0.2146 | |
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| No log | 17.0 | 204 | 0.2152 | |
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| No log | 18.0 | 216 | 0.2123 | |
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| No log | 19.0 | 228 | 0.2145 | |
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| No log | 20.0 | 240 | 0.2121 | |
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| No log | 21.0 | 252 | 0.2044 | |
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| No log | 22.0 | 264 | 0.2132 | |
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| No log | 23.0 | 276 | 0.2161 | |
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| No log | 24.0 | 288 | 0.2141 | |
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| No log | 25.0 | 300 | 0.2109 | |
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| No log | 26.0 | 312 | 0.2034 | |
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| No log | 27.0 | 324 | 0.2068 | |
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| No log | 28.0 | 336 | 0.2101 | |
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| No log | 29.0 | 348 | 0.2110 | |
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| No log | 30.0 | 360 | 0.2141 | |
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| No log | 31.0 | 372 | 0.2141 | |
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| No log | 32.0 | 384 | 0.2124 | |
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| No log | 33.0 | 396 | 0.2115 | |
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| No log | 34.0 | 408 | 0.2095 | |
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| No log | 35.0 | 420 | 0.2068 | |
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| No log | 36.0 | 432 | 0.2027 | |
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| No log | 37.0 | 444 | 0.2030 | |
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| No log | 38.0 | 456 | 0.2043 | |
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| No log | 39.0 | 468 | 0.2067 | |
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| No log | 40.0 | 480 | 0.2076 | |
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| No log | 41.0 | 492 | 0.2067 | |
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| 0.1497 | 42.0 | 504 | 0.2076 | |
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| 0.1497 | 43.0 | 516 | 0.2089 | |
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| 0.1497 | 44.0 | 528 | 0.2098 | |
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| 0.1497 | 45.0 | 540 | 0.2096 | |
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| 0.1497 | 46.0 | 552 | 0.2090 | |
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| 0.1497 | 47.0 | 564 | 0.2089 | |
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| 0.1497 | 48.0 | 576 | 0.2090 | |
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| 0.1497 | 49.0 | 588 | 0.2095 | |
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| 0.1497 | 50.0 | 600 | 0.2092 | |
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### Framework versions |
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- Transformers 4.36.0 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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