best-new-cool-rubert-tiny-turbo

README.md

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+---
+library_name: transformers
+license: mit
+base_model: sergeyzh/rubert-tiny-turbo
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- recall
+- precision
+- f1
+model-index:
+- name: results3
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# results3
+
+This model is a fine-tuned version of [sergeyzh/rubert-tiny-turbo](https://huggingface.co/sergeyzh/rubert-tiny-turbo) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2500
+- Accuracy: 0.9661
+- Recall: 0.6584
+- Precision: 0.7737
+- F1: 0.7114
+- Roc Auc: 0.9492
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Recall | Precision | F1     | Roc Auc |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------:|
+| 0.2936        | 0.9988 | 633  | 0.2757          | 0.9337   | 0.6646 | 0.4842    | 0.5602 | 0.9290  |
+| 0.2674        | 1.9992 | 1267 | 0.2230          | 0.9487   | 0.7391 | 0.5749    | 0.6467 | 0.9465  |
+| 0.1575        | 2.9996 | 1901 | 0.2500          | 0.9661   | 0.6584 | 0.7737    | 0.7114 | 0.9492  |
+| 0.0435        | 4.0    | 2535 | 0.2891          | 0.9613   | 0.7516 | 0.6760    | 0.7118 | 0.9476  |
+| 0.0021        | 4.9941 | 3165 | 0.3548          | 0.9629   | 0.6770 | 0.7219    | 0.6987 | 0.9460  |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

config.json

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+{
+  "_name_or_path": "sergeyzh/rubert-tiny-turbo",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "emb_size": 312,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 312,
+  "initializer_range": 0.02,
+  "intermediate_size": 600,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 2048,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 3,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 83828
+}

model.safetensors

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+oid sha256:272522f22dfeb95debccf085e58b69cfb2056377741462ed49a177e60b1b943b
+size 116784136

training_args.bin

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