Instructions to use daze-unlv/FacebookAI-xlm-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daze-unlv/FacebookAI-xlm-roberta-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("daze-unlv/FacebookAI-xlm-roberta-base") model = AutoModelForMultipleChoice.from_pretrained("daze-unlv/FacebookAI-xlm-roberta-base") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
log.txt
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{'loss': 1.3884, 'grad_norm': 0.5441191792488098, 'learning_rate': 4.124956247812391e-05, 'epoch': 0.53}
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{'loss': 1.3884, 'grad_norm': 0.9024211764335632, 'learning_rate': 3.8332749970831875e-05, 'epoch': 0.7}
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{'loss': 1.3883, 'grad_norm': 0.8354799151420593, 'learning_rate': 3.5415937463539846e-05, 'epoch': 0.88}
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{'loss': 1.3884, 'grad_norm': 0.5441191792488098, 'learning_rate': 4.124956247812391e-05, 'epoch': 0.53}
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{'loss': 1.3884, 'grad_norm': 0.9024211764335632, 'learning_rate': 3.8332749970831875e-05, 'epoch': 0.7}
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{'loss': 1.3883, 'grad_norm': 0.8354799151420593, 'learning_rate': 3.5415937463539846e-05, 'epoch': 0.88}
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[2 0 3 ... 0 1 0] [0 0 2 ... 0 1 0]
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{'eval_loss': 1.3862948417663574, 'eval_accuracy': 0.23045661008845325, 'eval_runtime': 12.4876, 'eval_samples_per_second': 334.972, 'eval_steps_per_second': 5.285, 'epoch': 1.0}
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{'loss': 1.3884, 'grad_norm': 0.49840041995048523, 'learning_rate': 3.249912495624781e-05, 'epoch': 1.05}
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{'loss': 1.3879, 'grad_norm': 0.5608851909637451, 'learning_rate': 2.9582312448955786e-05, 'epoch': 1.23}
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{'loss': 1.3879, 'grad_norm': 0.4618963599205017, 'learning_rate': 2.666549994166375e-05, 'epoch': 1.4}
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{'loss': 1.3874, 'grad_norm': 0.5867350697517395, 'learning_rate': 2.374868743437172e-05, 'epoch': 1.58}
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{'loss': 1.3878, 'grad_norm': 0.516469419002533, 'learning_rate': 2.083187492707969e-05, 'epoch': 1.75}
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{'loss': 1.3871, 'grad_norm': 0.4514859616756439, 'learning_rate': 1.7915062419787655e-05, 'epoch': 1.93}
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model.safetensors
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size 1112201908
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version https://git-lfs.github.com/spec/v1
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size 1112201908
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runs/Mar13_08-54-43_cehsc-app-001.ad.unlv.edu/events.out.tfevents.1710345286.cehsc-app-001.ad.unlv.edu.2936732.0
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size 7648
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