Instructions to use splitner/single-qa-bionlp13cg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/single-qa-bionlp13cg with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/single-qa-bionlp13cg") model = AutoModel.from_pretrained("splitner/single-qa-bionlp13cg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
481e40c
1
Parent(s): c46bfce
first model version
Browse files- config.json +34 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- trainer_state.json +604 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
ADDED
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{
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"_name_or_path": "allenai/scibert_scivocab_uncased",
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"architectures": [
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"NerModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2,
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"LABEL_3": 3
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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": "bert",
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"num_attention_heads": 12,
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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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"type_vocab_size": 2,
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"vocab_size": 31090
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}
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:b22e3a45b62776f88520839a79d412c03a9af2987feb9650fa7782d5cd414c43
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size 935931429
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7720ce8051f3bb4818371c54d508126437cf9429be51f64b69e85af47d6b647b
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size 467991679
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:f9f8d239deb3d530c21e4c2a74107a7685526048d9288f2a3552f0015175a80f
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size 623
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tokenizer_config.json
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{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": null, "name_or_path": "allenai/scibert_scivocab_uncased", "do_basic_tokenize": true, "never_split": null}
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trainer_state.json
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.8643187872085794,
|
| 3 |
+
"best_model_checkpoint": "../out/bio/ner-scibert-qa4-querytype4-char-pattern3-subtext-dim50-new/checkpoints/checkpoint-29601",
|
| 4 |
+
"epoch": 39.0,
|
| 5 |
+
"global_step": 29601,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.6587615283267457,
|
| 12 |
+
"learning_rate": 9.97804128238911e-06,
|
| 13 |
+
"loss": 0.037110485076904294,
|
| 14 |
+
"step": 500
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 1.0,
|
| 18 |
+
"eval_loss": 0.011046583764255047,
|
| 19 |
+
"eval_micro_f1": 0.7884588313085232,
|
| 20 |
+
"step": 759
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 1.3175230566534915,
|
| 24 |
+
"learning_rate": 9.956082564778218e-06,
|
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vocab.txt
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