beenakurian
commited on
Commit
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Parent(s):
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Upload folder using huggingface_hub
Browse files- README.md +37 -0
- added_tokens.json +3 -0
- bpe.codes +0 -0
- checkpoint-691/config.json +41 -0
- checkpoint-691/model.safetensors +3 -0
- checkpoint-691/optimizer.pt +3 -0
- checkpoint-691/rng_state.pth +3 -0
- checkpoint-691/scheduler.pt +3 -0
- checkpoint-691/trainer_state.json +179 -0
- checkpoint-691/training_args.bin +3 -0
- config.json +41 -0
- model.safetensors +3 -0
- special_tokens_map.json +9 -0
- tokenizer_config.json +55 -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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widget:
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- text: "I love AutoTrain"
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datasets:
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- autotrain-sentiment-analyzer-reddit/autotrain-data
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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: 0.4894636273384094
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f1_macro: 0.7895193987806856
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f1_micro: 0.8096960926193921
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f1_weighted: 0.8045465713974906
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precision_macro: 0.814875613105015
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precision_micro: 0.8096960926193922
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precision_weighted: 0.8193628961020867
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recall_macro: 0.7801134533159866
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recall_micro: 0.8096960926193922
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recall_weighted: 0.8096960926193922
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accuracy: 0.8096960926193922
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added_tokens.json
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{
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"<mask>": 64000
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}
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bpe.codes
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The diff for this file is too large to render.
See raw diff
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checkpoint-691/config.json
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{
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"_name_or_path": "finiteautomata/bertweet-base-sentiment-analysis",
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"_num_labels": 3,
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"architectures": [
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"RobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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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": "NEG",
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"1": "NEU",
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"2": "POS"
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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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"NEG": 0,
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"NEU": 1,
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"POS": 2
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 130,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"tokenizer_class": "BertweetTokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 64001
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}
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checkpoint-691/model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 539633244
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checkpoint-691/optimizer.pt
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size 1079380730
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checkpoint-691/rng_state.pth
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size 13990
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checkpoint-691/scheduler.pt
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size 1064
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checkpoint-691/trainer_state.json
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}
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checkpoint-691/training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 4984
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config.json
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|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "finiteautomata/bertweet-base-sentiment-analysis",
|
3 |
+
"_num_labels": 3,
|
4 |
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"architectures": [
|
5 |
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"RobertaForSequenceClassification"
|
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|
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|
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|
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|
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|
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"id2label": {
|
16 |
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"0": "NEG",
|
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"1": "NEU",
|
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"2": "POS"
|
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},
|
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|
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|
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"label2id": {
|
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"NEG": 0,
|
24 |
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"NEU": 1,
|
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"POS": 2
|
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},
|
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"layer_norm_eps": 1e-05,
|
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"max_position_embeddings": 130,
|
29 |
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"model_type": "roberta",
|
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"num_attention_heads": 12,
|
31 |
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"num_hidden_layers": 12,
|
32 |
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"pad_token_id": 1,
|
33 |
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"position_embedding_type": "absolute",
|
34 |
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"problem_type": "single_label_classification",
|
35 |
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"tokenizer_class": "BertweetTokenizer",
|
36 |
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"torch_dtype": "float32",
|
37 |
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"transformers_version": "4.38.2",
|
38 |
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"type_vocab_size": 1,
|
39 |
+
"use_cache": true,
|
40 |
+
"vocab_size": 64001
|
41 |
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}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
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|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:1eb5282f974dabdbb97377653de6ca8ff20b8497ca563b8bbb273dfd5e9ff531
|
3 |
+
size 539633244
|
special_tokens_map.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
1 |
+
{
|
2 |
+
"bos_token": "<s>",
|
3 |
+
"cls_token": "<s>",
|
4 |
+
"eos_token": "</s>",
|
5 |
+
"mask_token": "<mask>",
|
6 |
+
"pad_token": "<pad>",
|
7 |
+
"sep_token": "</s>",
|
8 |
+
"unk_token": "<unk>"
|
9 |
+
}
|
tokenizer_config.json
ADDED
@@ -0,0 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
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|
|
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|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "<s>",
|
5 |
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"lstrip": false,
|
6 |
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"normalized": false,
|
7 |
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"rstrip": false,
|
8 |
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"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "<pad>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "</s>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
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"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "<unk>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"64000": {
|
36 |
+
"content": "<mask>",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"bos_token": "<s>",
|
45 |
+
"clean_up_tokenization_spaces": true,
|
46 |
+
"cls_token": "<s>",
|
47 |
+
"eos_token": "</s>",
|
48 |
+
"mask_token": "<mask>",
|
49 |
+
"model_max_length": 128,
|
50 |
+
"normalization": false,
|
51 |
+
"pad_token": "<pad>",
|
52 |
+
"sep_token": "</s>",
|
53 |
+
"tokenizer_class": "BertweetTokenizer",
|
54 |
+
"unk_token": "<unk>"
|
55 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:25073ad33de1cc150e6d09207726f9585f650b1108f1b100b5189c72f2a36abf
|
3 |
+
size 4984
|
training_params.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"data_path": "autotrain-sentiment-analyzer-reddit/autotrain-data",
|
3 |
+
"model": "finiteautomata/bertweet-base-sentiment-analysis",
|
4 |
+
"lr": 5e-05,
|
5 |
+
"epochs": 3,
|
6 |
+
"max_seq_length": 128,
|
7 |
+
"batch_size": 8,
|
8 |
+
"warmup_ratio": 0.1,
|
9 |
+
"gradient_accumulation": 1,
|
10 |
+
"optimizer": "adamw_torch",
|
11 |
+
"scheduler": "linear",
|
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": "autotrain-sentiment-analyzer-reddit",
|
21 |
+
"auto_find_batch_size": false,
|
22 |
+
"mixed_precision": null,
|
23 |
+
"save_total_limit": 1,
|
24 |
+
"save_strategy": "epoch",
|
25 |
+
"push_to_hub": true,
|
26 |
+
"repo_id": "beenakurian/autotrain-sentiment-analyzer-reddit",
|
27 |
+
"evaluation_strategy": "epoch",
|
28 |
+
"username": "beenakurian",
|
29 |
+
"log": "none"
|
30 |
+
}
|
vocab.txt
ADDED
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|
|