ivanovsdesign
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Parent(s):
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Upload folder using huggingface_hub
Browse files- README.md +36 -0
- checkpoint-7302/config.json +49 -0
- checkpoint-7302/model.safetensors +3 -0
- checkpoint-7302/optimizer.pt +3 -0
- checkpoint-7302/rng_state_0.pth +3 -0
- checkpoint-7302/rng_state_1.pth +3 -0
- checkpoint-7302/scheduler.pt +3 -0
- checkpoint-7302/trainer_state.json +2140 -0
- checkpoint-7302/training_args.bin +3 -0
- config.json +49 -0
- model.safetensors +3 -0
- runs/Nov09_23-13-04_6604152ce143/events.out.tfevents.1731193985.6604152ce143.674.0 +2 -2
- runs/Nov09_23-13-04_6604152ce143/events.out.tfevents.1731197419.6604152ce143.674.1 +3 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +64 -0
- training_args.bin +3 -0
- training_params.json +30 -0
- vocab.txt +0 -0
README.md
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---
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tags:
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- autotrain
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- text-classification
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base_model: ivanovsdesign/huawei-data-classification
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widget:
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- text: "I love AutoTrain"
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---
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# Model Trained Using AutoTrain
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- Problem type: Text Classification
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## Validation Metrics
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loss: 0.9126833081245422
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f1_macro: 0.47986378330102575
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f1_micro: 0.6351587383129559
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f1_weighted: 0.6366218608153963
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precision_macro: 0.4869491643480056
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precision_micro: 0.6351587383129559
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precision_weighted: 0.6494956994259575
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recall_macro: 0.4963958102076925
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recall_micro: 0.6351587383129559
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recall_weighted: 0.6351587383129559
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accuracy: 0.6351587383129559
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checkpoint-7302/config.json
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{
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"_name_or_path": "ivanovsdesign/huawei-data-classification",
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"_num_labels": 5,
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"directionality": "bidi",
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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": "1",
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"1": "2",
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"2": "3",
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"3": "4",
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"4": "5"
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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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"1": 0,
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"2": 1,
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"3": 2,
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"4": 3,
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"5": 4
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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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"output_past": true,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.46.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 119547
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}
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checkpoint-7302/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1482e954dc7bbef048c49c06bdc65118b9138ec4ca7e91f7933627bf7f2df339
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size 711452684
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checkpoint-7302/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:d34860e072b3e89ae53915f271347e78ded67fb3cfb4a99a3e2e844495bcacb1
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size 1423026426
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checkpoint-7302/rng_state_0.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:0854bb32a2482ca3dbd6c9360ad92f55abbc1c6a7252c1425c386b9e1c0ba633
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size 14512
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checkpoint-7302/rng_state_1.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:6c8952e15270b4d4ee66d9d14430aadfa68e894b1fcb2fb7df94f6fc7998bf10
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size 14512
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checkpoint-7302/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:f73a56f8280d093a2719832534cf685e9b73a8df36f27a7e25f92295dcdeb2da
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size 1064
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checkpoint-7302/trainer_state.json
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|
1 |
+
{
|
2 |
+
"best_metric": 0.8904216289520264,
|
3 |
+
"best_model_checkpoint": "rubert-base-ru-huawei-sentiment-fine-up/checkpoint-7302",
|
4 |
+
"epoch": 3.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 7302,
|
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|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"102": {
|
28 |
+
"content": "[SEP]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"103": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"clean_up_tokenization_spaces": true,
|
45 |
+
"cls_token": "[CLS]",
|
46 |
+
"do_basic_tokenize": true,
|
47 |
+
"do_lower_case": false,
|
48 |
+
"mask_token": "[MASK]",
|
49 |
+
"max_length": 256,
|
50 |
+
"model_max_length": 1000000000000000019884624838656,
|
51 |
+
"never_split": null,
|
52 |
+
"pad_to_multiple_of": null,
|
53 |
+
"pad_token": "[PAD]",
|
54 |
+
"pad_token_type_id": 0,
|
55 |
+
"padding_side": "right",
|
56 |
+
"sep_token": "[SEP]",
|
57 |
+
"stride": 0,
|
58 |
+
"strip_accents": null,
|
59 |
+
"tokenize_chinese_chars": true,
|
60 |
+
"tokenizer_class": "BertTokenizer",
|
61 |
+
"truncation_side": "right",
|
62 |
+
"truncation_strategy": "longest_first",
|
63 |
+
"unk_token": "[UNK]"
|
64 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7b3846c407f453ea89f497122124bfe218afe31e6685d5602147a195a385fd0f
|
3 |
+
size 5368
|
training_params.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"data_path": "rubert-base-ru-huawei-sentiment-fine-up/autotrain-data",
|
3 |
+
"model": "ivanovsdesign/huawei-data-classification",
|
4 |
+
"lr": 5e-05,
|
5 |
+
"epochs": 9,
|
6 |
+
"max_seq_length": 256,
|
7 |
+
"batch_size": 8,
|
8 |
+
"warmup_ratio": 0.1,
|
9 |
+
"gradient_accumulation": 1,
|
10 |
+
"optimizer": "adamw_torch",
|
11 |
+
"scheduler": "cosine_with_restarts",
|
12 |
+
"weight_decay": 0.0,
|
13 |
+
"max_grad_norm": 1.0,
|
14 |
+
"seed": 42,
|
15 |
+
"train_split": "train",
|
16 |
+
"valid_split": "validation",
|
17 |
+
"text_column": "autotrain_text",
|
18 |
+
"target_column": "autotrain_label",
|
19 |
+
"logging_steps": -1,
|
20 |
+
"project_name": "rubert-base-ru-huawei-sentiment-fine-up",
|
21 |
+
"auto_find_batch_size": false,
|
22 |
+
"mixed_precision": "fp16",
|
23 |
+
"save_total_limit": 1,
|
24 |
+
"push_to_hub": true,
|
25 |
+
"eval_strategy": "epoch",
|
26 |
+
"username": "ivanovsdesign",
|
27 |
+
"log": "tensorboard",
|
28 |
+
"early_stopping_patience": 5,
|
29 |
+
"early_stopping_threshold": 0.01
|
30 |
+
}
|
vocab.txt
ADDED
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|
|