fine_tuned_boolq_googlemt_sloberta

README.md

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+---
+license: cc-by-sa-4.0
+base_model: EMBEDDIA/sloberta
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: fine_tuned_boolq_googlemt_sloberta
+  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. -->
+
+# fine_tuned_boolq_googlemt_sloberta
+
+This model is a fine-tuned version of [EMBEDDIA/sloberta](https://huggingface.co/EMBEDDIA/sloberta) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6620
+- Accuracy: 0.6217
+- F1: 0.4767
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 400
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
+| 0.6784        | 0.0424 | 50   | 0.6646          | 0.6217   | 0.4767 |
+| 0.6768        | 0.0848 | 100  | 0.6692          | 0.6217   | 0.4767 |
+| 0.6872        | 0.1272 | 150  | 0.6740          | 0.6217   | 0.4767 |
+| 0.6597        | 0.1696 | 200  | 0.6676          | 0.6217   | 0.4767 |
+| 0.664         | 0.2120 | 250  | 0.6641          | 0.6217   | 0.4767 |
+| 0.654         | 0.2545 | 300  | 0.6656          | 0.6217   | 0.4767 |
+| 0.6709        | 0.2969 | 350  | 0.6621          | 0.6217   | 0.4767 |
+| 0.6815        | 0.3393 | 400  | 0.6620          | 0.6217   | 0.4767 |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "EMBEDDIA/sloberta",
+  "architectures": [
+    "CamembertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "False",
+    "1": "True"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "False": 0,
+    "True": 1
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "camembert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.2",
+  "type_vocab_size": 1,
+  "use_cache": false,
+  "vocab_size": 32005
+}

model.safetensors

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runs/May18_09-51-24_66268ac02b2b/events.out.tfevents.1716025895.66268ac02b2b.240.0

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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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