Instructions to use heavyhelium/electra-small-touche-enhanced-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use heavyhelium/electra-small-touche-enhanced-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="heavyhelium/electra-small-touche-enhanced-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("heavyhelium/electra-small-touche-enhanced-binary") model = AutoModelForSequenceClassification.from_pretrained("heavyhelium/electra-small-touche-enhanced-binary") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5, checkpoint
Browse files- checkpoint-235/config.json +43 -0
- checkpoint-235/model.safetensors +3 -0
- checkpoint-235/optimizer.pt +3 -0
- checkpoint-235/rng_state.pth +3 -0
- checkpoint-235/scaler.pt +3 -0
- checkpoint-235/scheduler.pt +3 -0
- checkpoint-235/tokenizer.json +0 -0
- checkpoint-235/tokenizer_config.json +15 -0
- checkpoint-235/trainer_state.json +250 -0
- checkpoint-235/training_args.bin +3 -0
checkpoint-235/config.json
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{
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"add_cross_attention": false,
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"architectures": [
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"ElectraForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": null,
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"classifier_dropout": null,
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"dtype": "float32",
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"embedding_size": 128,
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"eos_token_id": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 256,
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"id2label": {
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"0": "valid",
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"1": "fallacy"
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},
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"initializer_range": 0.02,
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"intermediate_size": 1024,
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"is_decoder": false,
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"label2id": {
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"fallacy": 1,
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"valid": 0
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "electra",
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"num_attention_heads": 4,
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| 30 |
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"summary_activation": "gelu",
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| 35 |
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"summary_last_dropout": 0.1,
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| 36 |
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"summary_type": "first",
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| 37 |
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"summary_use_proj": true,
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| 38 |
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"tie_word_embeddings": true,
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| 39 |
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"transformers_version": "5.9.0",
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| 40 |
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"type_vocab_size": 2,
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| 41 |
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"use_cache": false,
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| 42 |
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"vocab_size": 30522
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}
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checkpoint-235/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0e74d60afcb36718d989af9c5824bb37f7abc35e87e5694d9a539c43839d15c2
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size 54221200
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checkpoint-235/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:4afc547d5ed9672a6ea581cbcefe90301f991dab29500acea180f20bf8c06eaf
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| 3 |
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size 108567563
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checkpoint-235/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:0c7022145e75b26fb5453057f190dec34ae3ed32e656c97df434cf0d46721ea2
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size 14645
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checkpoint-235/scaler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:3ebf75bfdec9cd91636c8d83fe2e1ebad7190a36eafe90e3fd6e6f00a6e3b2ff
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size 1383
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checkpoint-235/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:44fb94a88c15d58ffa1bf978fccff6134483f7613a240fb8f9d498a06f59dd4a
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size 1465
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checkpoint-235/tokenizer.json
ADDED
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The diff for this file is too large to render.
See raw diff
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checkpoint-235/tokenizer_config.json
ADDED
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{
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"backend": "tokenizers",
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"is_local": false,
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| 6 |
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"local_files_only": false,
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| 7 |
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"mask_token": "[MASK]",
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| 8 |
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"model_max_length": 512,
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| 9 |
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"pad_token": "[PAD]",
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| 10 |
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"sep_token": "[SEP]",
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| 11 |
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"strip_accents": null,
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| 12 |
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"tokenize_chinese_chars": true,
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| 13 |
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"tokenizer_class": "BertTokenizer",
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| 14 |
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"unk_token": "[UNK]"
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| 15 |
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}
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checkpoint-235/trainer_state.json
ADDED
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| 1 |
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{
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