transformers safetensors m2m_100 text2text-generation generated_from_trainer base_model:facebook/nllb-200-distilled-600M license:cc-by-nc-4.0 autotrain_compatible endpoints_compatible region:us
---
license: cc-by-nc-4.0
base_model: facebook/nllb-200-distilled-600M
tags:
- generated_from_trainer
model-index:
- name: facebook_nllb-200-distilled-600M_text2sparql
  results: []
---

<!-- 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](https://huggingface.co/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
