Instructions to use EricPeter/en-to-lg-nllb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EricPeter/en-to-lg-nllb with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("EricPeter/en-to-lg-nllb") model = AutoModelForSeq2SeqLM.from_pretrained("EricPeter/en-to-lg-nllb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from EricPeter/en-to-lg-nllb: direct link, hf CLI and curl.
- Browser
- Download file 2.14 kB
-
https://huggingface.co/EricPeter/en-to-lg-nllb/resolve/f06e0cf0a46ff755ee3f6e65809eafe894bc207f/trainer_state.json
- Command line
-
hf download hf://EricPeter/en-to-lg-nllb@f06e0cf0a46ff755ee3f6e65809eafe894bc207f/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/EricPeter/en-to-lg-nllb/resolve/f06e0cf0a46ff755ee3f6e65809eafe894bc207f/trainer_state.json
2.14 kB
| { | |
| "best_metric": 3.8955132961273193, | |
| "best_model_checkpoint": "en-to-lg-nllb/checkpoint-126", | |
| "epoch": 4.984126984126984, | |
| "eval_steps": 50, | |
| "global_step": 157, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.9841269841269841, | |
| "eval_bleu": 4.9826, | |
| "eval_gen_len": 21.0615, | |
| "eval_loss": 4.006349086761475, | |
| "eval_runtime": 25808.7824, | |
| "eval_samples_per_second": 13.795, | |
| "eval_steps_per_second": 0.862, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_bleu": 5.1662, | |
| "eval_gen_len": 21.0337, | |
| "eval_loss": 3.9251999855041504, | |
| "eval_runtime": 24598.2105, | |
| "eval_samples_per_second": 14.474, | |
| "eval_steps_per_second": 0.905, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 2.984126984126984, | |
| "eval_bleu": 5.1982, | |
| "eval_gen_len": 21.0079, | |
| "eval_loss": 3.9015612602233887, | |
| "eval_runtime": 24397.4743, | |
| "eval_samples_per_second": 14.594, | |
| "eval_steps_per_second": 0.912, | |
| "step": 94 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_bleu": 5.1957, | |
| "eval_gen_len": 21.1682, | |
| "eval_loss": 3.8955132961273193, | |
| "eval_runtime": 24834.7491, | |
| "eval_samples_per_second": 14.337, | |
| "eval_steps_per_second": 0.896, | |
| "step": 126 | |
| }, | |
| { | |
| "epoch": 4.984126984126984, | |
| "eval_bleu": 5.2696, | |
| "eval_gen_len": 20.8579, | |
| "eval_loss": 3.8994901180267334, | |
| "eval_runtime": 24130.7665, | |
| "eval_samples_per_second": 14.755, | |
| "eval_steps_per_second": 0.922, | |
| "step": 157 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 310, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 10, | |
| "save_steps": 1000, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 42631431192576.0, | |
| "train_batch_size": 16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |