Markus Serloth-Schwarzer
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Browse files- README.md +37 -0
- checkpoint-35/config.json +38 -0
- checkpoint-35/model.safetensors +3 -0
- checkpoint-35/optimizer.pt +3 -0
- checkpoint-35/rng_state.pth +3 -0
- checkpoint-35/scheduler.pt +3 -0
- checkpoint-35/trainer_state.json +356 -0
- checkpoint-35/training_args.bin +3 -0
- config.json +38 -0
- model.safetensors +3 -0
- runs/May09_16-03-27_r-zerithas-myownmodels-v1-z4ak8yoe-7b9ea-ju3lf/events.out.tfevents.1715270607.r-zerithas-myownmodels-v1-z4ak8yoe-7b9ea-ju3lf.58.0 +2 -2
- runs/May09_16-03-27_r-zerithas-myownmodels-v1-z4ak8yoe-7b9ea-ju3lf/events.out.tfevents.1715270628.r-zerithas-myownmodels-v1-z4ak8yoe-7b9ea-ju3lf.58.1 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- training_args.bin +3 -0
- training_params.json +28 -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-df80/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: 0.8816452026367188
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f1_macro: 0.5019607843137255
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f1_micro: 0.75
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f1_weighted: 0.7313725490196079
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precision_macro: 0.5
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precision_micro: 0.75
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precision_weighted: 0.71875
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recall_macro: 0.5079365079365079
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recall_micro: 0.75
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recall_weighted: 0.75
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accuracy: 0.75
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checkpoint-35/config.json
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{
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"_name_or_path": "oliverguhr/german-sentiment-bert",
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"_num_labels": 3,
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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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"finetuning_task": "germansentiment",
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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": "negative",
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"1": "neutral",
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"2": "positive"
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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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"negative": 0,
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"neutral": 1,
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"positive": 2
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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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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.40.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30000
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}
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checkpoint-35/model.safetensors
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checkpoint-35/optimizer.pt
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checkpoint-35/rng_state.pth
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checkpoint-35/scheduler.pt
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checkpoint-35/trainer_state.json
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1 |
+
{
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2 |
+
"data_path": "autotrain-df80/autotrain-data",
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3 |
+
"model": "oliverguhr/german-sentiment-bert",
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4 |
+
"lr": 5e-05,
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5 |
+
"epochs": 5,
|
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",
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19 |
+
"logging_steps": -1,
|
20 |
+
"project_name": "autotrain-df80",
|
21 |
+
"auto_find_batch_size": false,
|
22 |
+
"mixed_precision": "fp16",
|
23 |
+
"save_total_limit": 1,
|
24 |
+
"push_to_hub": true,
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25 |
+
"evaluation_strategy": "epoch",
|
26 |
+
"username": "Zerithas",
|
27 |
+
"log": "tensorboard"
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28 |
+
}
|
vocab.txt
ADDED
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