fine_tuned_copa_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_copa_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_copa_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: 0.6931
+- Accuracy: 0.51
+- F1: 0.4611
+
+## 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: 0.003
+- 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.6967        | 1.0   | 50   | 0.6931          | 0.55     | 0.3903 |
+| 0.7084        | 2.0   | 100  | 0.6931          | 0.55     | 0.3903 |
+| 0.7031        | 3.0   | 150  | 0.6931          | 0.55     | 0.3903 |
+| 0.7045        | 4.0   | 200  | 0.6931          | 0.49     | 0.4220 |
+| 0.7119        | 5.0   | 250  | 0.6931          | 0.56     | 0.4124 |
+| 0.6942        | 6.0   | 300  | 0.6931          | 0.55     | 0.3903 |
+| 0.7146        | 7.0   | 350  | 0.6931          | 0.56     | 0.4124 |
+| 0.7177        | 8.0   | 400  | 0.6931          | 0.51     | 0.4611 |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.1.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "EMBEDDIA/sloberta",
+  "architectures": [
+    "CamembertForMultipleChoice"
+  ],
+  "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,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "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",
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.1",
+  "type_vocab_size": 1,
+  "use_cache": false,
+  "vocab_size": 32005
+}

model.safetensors

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runs/May21_16-02-15_DESKTOP-22QTFDR/events.out.tfevents.1716300135.DESKTOP-22QTFDR.20300.2

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runs/May21_16-02-15_DESKTOP-22QTFDR/events.out.tfevents.1716300176.DESKTOP-22QTFDR.20300.3

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special_tokens_map.json

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+}

tokenizer_config.json

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+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "CamembertTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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