tjasadprompt_fine_tuned_boolq_sloberta

README.md

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+---
+license: cc-by-sa-4.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: EMBEDDIA/sloberta
+metrics:
+- accuracy
+- f1
+model-index:
+- name: prompt_fine_tuned_boolq_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. -->
+
+# prompt_fine_tuned_boolq_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: 0.5641
+- Accuracy: 0.7778
+- F1: 0.6806
+
+## 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     |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
+| 0.6616        | 4.1667  | 50   | 0.5869          | 0.7778   | 0.6806 |
+| 0.6427        | 8.3333  | 100  | 0.5746          | 0.7778   | 0.6806 |
+| 0.6365        | 12.5    | 150  | 0.5704          | 0.7778   | 0.6806 |
+| 0.6407        | 16.6667 | 200  | 0.5675          | 0.7778   | 0.6806 |
+| 0.6352        | 20.8333 | 250  | 0.5658          | 0.7778   | 0.6806 |
+| 0.6386        | 25.0    | 300  | 0.5641          | 0.7778   | 0.6806 |
+| 0.6445        | 29.1667 | 350  | 0.5643          | 0.7778   | 0.6806 |
+| 0.6363        | 33.3333 | 400  | 0.5641          | 0.7778   | 0.6806 |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "EMBEDDIA/sloberta",
+  "inference_mode": true,
+  "num_attention_heads": 12,
+  "num_layers": 6,
+  "num_transformer_submodules": 1,
+  "num_virtual_tokens": 12,
+  "peft_type": "PROMPT_TUNING",
+  "prompt_tuning_init": "RANDOM",
+  "prompt_tuning_init_text": null,
+  "revision": null,
+  "task_type": "SEQ_CLS",
+  "token_dim": 768,
+  "tokenizer_kwargs": null,
+  "tokenizer_name_or_path": "EMBEDDIA/sloberta"
+}

adapter_model.safetensors

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runs/May23_10-23-14_6eff19beaf70/events.out.tfevents.1716459798.6eff19beaf70.673.0

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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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