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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 392
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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oid sha256:4d96c609275ee4d78650c5d4e5be8837ab1d5d2e6ffb2f61af96dcdbb0466af2
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training_log.csv
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389.0,0.34567877500656985,0.7216064416720513,0.14739367365837097,14.465,177.877,5.6,0.25845316750874464,255962
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| 391 |
390.0,0.34592339635737246,0.7217210270645386,0.14747761189937592,14.6616,175.492,5.525,0.2568985619898951,256620
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| 392 |
391.0,0.34612946491800034,0.7219710893646615,0.1473371684551239,14.6282,175.893,5.537,0.2592304702681695,257278
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| 390 |
389.0,0.34567877500656985,0.7216064416720513,0.14739367365837097,14.465,177.877,5.6,0.25845316750874464,255962
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| 391 |
390.0,0.34592339635737246,0.7217210270645386,0.14747761189937592,14.6616,175.492,5.525,0.2568985619898951,256620
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| 392 |
391.0,0.34612946491800034,0.7219710893646615,0.1473371684551239,14.6282,175.893,5.537,0.2592304702681695,257278
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| 393 |
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392.0,0.34680701606988357,0.7220456802383317,0.1473662257194519,14.5137,177.28,5.581,0.25767586474931986,257936
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| 394 |
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393.0,0.3462069207148712,0.7219846872824898,0.14735470712184906,14.4791,177.704,5.594,0.25884181888845703,258594
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