hscore-balanced

README.md

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+---
+library_name: transformers
+license: mit
+base_model: camembert-base
+tags:
+- hyperparameter-search
+- best-trial
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: hscore-balanced
+  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. -->
+
+# hscore-balanced
+
+This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2353
+- Accuracy: 0.9274
+
+## 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: 8.497821083760116e-06
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1801        | 1.0   | 1643 | 0.2273          | 0.9200   |
+| 0.3525        | 2.0   | 3286 | 0.2126          | 0.9266   |
+| 0.0821        | 3.0   | 4929 | 0.2383          | 0.9291   |
+| 0.4058        | 4.0   | 6572 | 0.2149          | 0.9283   |
+| 0.2079        | 5.0   | 8215 | 0.2353          | 0.9274   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

added_tokens.json

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config.json

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+{
+  "_name_or_path": "camembert-base",
+  "architectures": [
+    "CamembertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 5,
+  "classifier_dropout": null,
+  "eos_token_id": 6,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "NEGATIVE",
+    "1": "POSITIVE"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "NEGATIVE": 0,
+    "POSITIVE": 1
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "camembert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 32005
+}

model.safetensors

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runs/Nov09_17-08-27_b2f4b9f0cce3/events.out.tfevents.1731172115.b2f4b9f0cce3.5923.0

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sentencepiece.bpe.model

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special_tokens_map.json

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tokenizer_config.json

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+}

training_args.bin

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