Text Classification
Transformers
Safetensors
trained-from-scratch
deberta
sequence-classification
multiple-choice
question-answering
Instructions to use dahaludba/QSolver_Scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dahaludba/QSolver_Scratch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dahaludba/QSolver_Scratch")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dahaludba/QSolver_Scratch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- fold_3/checkpoint-7690/config.json +45 -0
- fold_3/checkpoint-7690/model.safetensors +3 -0
- fold_3/checkpoint-7690/optimizer.pt +3 -0
- fold_3/checkpoint-7690/rng_state.pth +3 -0
- fold_3/checkpoint-7690/scaler.pt +3 -0
- fold_3/checkpoint-7690/scheduler.pt +3 -0
- fold_3/checkpoint-7690/tokenizer.json +0 -0
- fold_3/checkpoint-7690/tokenizer_config.json +23 -0
- fold_3/checkpoint-7690/trainer_state.json +204 -0
- fold_3/checkpoint-7690/training_args.bin +3 -0
- fold_3/config.json +45 -0
- fold_3/model.safetensors +3 -0
- fold_3/tokenizer.json +0 -0
- fold_3/tokenizer_config.json +23 -0
- fold_3/training_args.bin +3 -0
fold_3/checkpoint-7690/config.json
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{
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"architectures": [
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"DebertaV2ForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 1,
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"dtype": "float32",
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| 8 |
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"eos_token_id": 2,
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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": "LABEL_0"
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},
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"initializer_range": 0.02,
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"intermediate_size": 1024,
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"label2id": {
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"LABEL_0": 0
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},
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"layer_norm_eps": 1e-07,
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"legacy": true,
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"max_position_embeddings": 512,
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"max_relative_positions": -1,
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"model_type": "deberta-v2",
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"norm_rel_ebd": "layer_norm",
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"num_attention_heads": 4,
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"num_hidden_layers": 4,
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"pad_token_id": 0,
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"pooler_dropout": 0,
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"pooler_hidden_act": "gelu",
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"pooler_hidden_size": 256,
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"pos_att_type": [
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"p2c",
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"c2p"
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],
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"position_biased_input": false,
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"position_buckets": 256,
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"relative_attention": true,
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"share_att_key": true,
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"tie_word_embeddings": true,
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"transformers_version": "5.0.0",
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| 42 |
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"type_vocab_size": 0,
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"use_cache": false,
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"vocab_size": 128100
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}
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fold_3/checkpoint-7690/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cb3be835eafad2676bcfebc17da3c91b895f05235fe1bd6ac170c2996a6252d3
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size 144611964
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fold_3/checkpoint-7690/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:2dc6e26f5bb33c5e9d78bebdd2ddb86a663ec609876dfff30f5c3a1d3acbdc58
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size 289269963
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fold_3/checkpoint-7690/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:ba1487549698a15e7ddbe51e184bd4ed8fb685f17efe0353d91b91a1752e0a99
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size 14645
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fold_3/checkpoint-7690/scaler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:3db751112c374d8a97d504e994f3937da62131f95b52bdea347942783164785b
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size 1383
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fold_3/checkpoint-7690/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:7746ed0c61d08e439b3da47b74490e61e7d211741c0ec5c01a778df48e882028
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size 1465
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fold_3/checkpoint-7690/tokenizer.json
ADDED
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The diff for this file is too large to render.
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fold_3/checkpoint-7690/tokenizer_config.json
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{
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"add_prefix_space": true,
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"backend": "tokenizers",
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"do_lower_case": false,
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| 7 |
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"eos_token": "[SEP]",
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"extra_special_tokens": [
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"[PAD]",
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"[CLS]",
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"[SEP]"
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],
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"is_local": false,
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"mask_token": "[MASK]",
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| 15 |
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"model_max_length": 1000000000000000019884624838656,
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| 16 |
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"pad_token": "[PAD]",
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| 17 |
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"sep_token": "[SEP]",
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| 18 |
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"split_by_punct": false,
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"tokenizer_class": "DebertaV2Tokenizer",
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| 20 |
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"unk_id": 3,
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"unk_token": "[UNK]",
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"vocab_type": "spm"
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}
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fold_3/checkpoint-7690/trainer_state.json
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+
{
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| 2 |
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| 3 |
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| 4 |
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"best_model_checkpoint": "/kaggle/working/QSolver_Checkpoints/scratch_fold_3/checkpoint-7690",
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| 5 |
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"epoch": 5.0,
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| 6 |
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| 7 |
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"global_step": 7690,
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| 8 |
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| 11 |
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{
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{
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{
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{
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},
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| 101 |
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{
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|
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