Instructions to use heavyhelium/electra-small-touche-rawplusctx-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use heavyhelium/electra-small-touche-rawplusctx-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="heavyhelium/electra-small-touche-rawplusctx-binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("heavyhelium/electra-small-touche-rawplusctx-binary") model = AutoModelForSequenceClassification.from_pretrained("heavyhelium/electra-small-touche-rawplusctx-binary") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1, checkpoint
Browse files- checkpoint-47/config.json +43 -0
- checkpoint-47/model.safetensors +3 -0
- checkpoint-47/optimizer.pt +3 -0
- checkpoint-47/rng_state.pth +3 -0
- checkpoint-47/scaler.pt +3 -0
- checkpoint-47/scheduler.pt +3 -0
- checkpoint-47/tokenizer.json +0 -0
- checkpoint-47/tokenizer_config.json +15 -0
- checkpoint-47/trainer_state.json +73 -0
- checkpoint-47/training_args.bin +3 -0
checkpoint-47/config.json
ADDED
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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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"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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"summary_last_dropout": 0.1,
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"summary_type": "first",
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"summary_use_proj": true,
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"tie_word_embeddings": true,
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"transformers_version": "5.9.0",
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"type_vocab_size": 2,
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"use_cache": false,
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"vocab_size": 30522
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}
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checkpoint-47/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:92fb921654963df2dd65a687ead7d692c1d3947b1d42429768aeb00d3917a177
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size 54221200
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checkpoint-47/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:47cb685511cb986efae32e6b2a2f4f3a21cd6c17172a850c567db02b27efb95f
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size 108567563
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checkpoint-47/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:aeac2027eb2664c4b9a00faaf43f8883d2a3cac80c4f87642e34c597af840cfc
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size 14645
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checkpoint-47/scaler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:59488e5d9b4471d0d0555788046a08b8f749cb53682e1378f178ec2ec3004869
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size 1383
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checkpoint-47/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:ee3d0854f9a688512b45d4e25ab288193398346491a8acd92bc143f7d5879989
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size 1465
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checkpoint-47/tokenizer.json
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The diff for this file is too large to render.
See raw diff
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checkpoint-47/tokenizer_config.json
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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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"local_files_only": false,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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checkpoint-47/trainer_state.json
ADDED
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{
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"best_global_step": 47,
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"best_metric": 0.42028985507246375,
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"best_model_checkpoint": "models/electra-small-touche-rawplusctx-binary/trainer/checkpoint-47",
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"epoch": 1.0,
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"eval_steps": 500,
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"global_step": 47,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.2127659574468085,
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| 14 |
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"grad_norm": 0.6402145624160767,
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"learning_rate": 1.125e-05,
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"loss": 0.694329833984375,
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| 17 |
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"step": 10
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| 18 |
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},
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| 19 |
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{
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"epoch": 0.425531914893617,
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| 21 |
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"grad_norm": 1.1600931882858276,
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| 22 |
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"learning_rate": 2.3749999999999998e-05,
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| 23 |
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"loss": 0.69599609375,
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| 24 |
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"step": 20
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| 25 |
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},
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| 26 |
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{
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| 27 |
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"epoch": 0.6382978723404256,
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| 28 |
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"grad_norm": 0.6479201912879944,
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| 29 |
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"learning_rate": 2.928909952606635e-05,
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| 30 |
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"loss": 0.6899505615234375,
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| 31 |
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"step": 30
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| 32 |
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},
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| 33 |
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{
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| 34 |
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"epoch": 0.851063829787234,
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| 35 |
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"grad_norm": 1.7243105173110962,
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| 36 |
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"learning_rate": 2.7867298578199053e-05,
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| 37 |
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"loss": 0.69215087890625,
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| 38 |
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"step": 40
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| 39 |
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},
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| 40 |
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{
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| 41 |
+
"epoch": 1.0,
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| 42 |
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"eval_accuracy": 0.525,
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| 43 |
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"eval_fallacy_f1": 0.17391304347826086,
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| 44 |
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"eval_loss": 0.6910571455955505,
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| 45 |
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"eval_macro_f1": 0.42028985507246375,
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| 46 |
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"eval_runtime": 0.2773,
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| 47 |
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"eval_samples_per_second": 721.362,
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| 48 |
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"eval_steps_per_second": 14.427,
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| 49 |
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"step": 47
|
| 50 |
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}
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| 51 |
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],
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| 52 |
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"logging_steps": 10,
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| 53 |
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"max_steps": 235,
|
| 54 |
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"num_input_tokens_seen": 0,
|
| 55 |
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"num_train_epochs": 5,
|
| 56 |
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"save_steps": 500,
|
| 57 |
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"stateful_callbacks": {
|
| 58 |
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"TrainerControl": {
|
| 59 |
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"args": {
|
| 60 |
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"should_epoch_stop": false,
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| 61 |
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"should_evaluate": false,
|
| 62 |
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"should_log": false,
|
| 63 |
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"should_save": true,
|
| 64 |
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"should_training_stop": false
|
| 65 |
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},
|
| 66 |
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"attributes": {}
|
| 67 |
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}
|
| 68 |
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},
|
| 69 |
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"total_flos": 10753453326456.0,
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| 70 |
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"train_batch_size": 16,
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| 71 |
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"trial_name": null,
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| 72 |
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"trial_params": null
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| 73 |
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}
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checkpoint-47/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:cc5901dd89bc4001eae56c39d102ead320c920268eead43685a352ba001b4959
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size 5457
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