Text Classification
Transformers
Safetensors
English
multilingual
xlm-roberta
multi-label-classification
multi-head-classification
disaster-response
humanitarian-aid
social-media
twitter
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use spencercdz/xlm-roberta-sentiment-requests with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spencercdz/xlm-roberta-sentiment-requests with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="spencercdz/xlm-roberta-sentiment-requests")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("spencercdz/xlm-roberta-sentiment-requests") model = AutoModel.from_pretrained("spencercdz/xlm-roberta-sentiment-requests") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 410
Browse files- model.safetensors +1 -1
- training_log.csv +2 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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training_log.csv
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407.0,0.34763612508330916,0.7226907431292787,0.14729814231395721,14.4942,177.52,5.588,0.25884181888845703,267806
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| 409 |
408.0,0.34679107430546297,0.7219575143934882,0.14726735651493073,14.6347,175.815,5.535,0.25961912164788187,268464
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| 410 |
409.0,0.3471645756590243,0.7221477842290706,0.14729177951812744,14.4724,177.786,5.597,0.25767586474931986,269122
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| 408 |
407.0,0.34763612508330916,0.7226907431292787,0.14729814231395721,14.4942,177.52,5.588,0.25884181888845703,267806
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| 409 |
408.0,0.34679107430546297,0.7219575143934882,0.14726735651493073,14.6347,175.815,5.535,0.25961912164788187,268464
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| 410 |
409.0,0.3471645756590243,0.7221477842290706,0.14729177951812744,14.4724,177.786,5.597,0.25767586474931986,269122
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410.0,0.34714680204341775,0.7222194649858554,0.14733988046646118,14.4766,177.735,5.595,0.26000777302759426,269780
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411.0,0.3474225227168248,0.7226331728143772,0.14729245007038116,14.5997,176.236,5.548,0.2592304702681695,270438
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