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Rzoro
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checkpoints_3_12

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deberta-v2
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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: microsoft/deberta-v3-large
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: checkpoints_3_12
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # checkpoints_3_12
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+
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+ This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9977
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+ - Map@3: 0.7303
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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+ - seed: 0
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 8
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Map@3 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 1.6031 | 0.04 | 200 | 1.3487 | 0.6587 |
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+ | 1.5042 | 0.08 | 400 | 1.2233 | 0.6620 |
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+ | 1.4276 | 0.13 | 600 | 1.2073 | 0.6857 |
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+ | 1.3488 | 0.17 | 800 | 1.1651 | 0.6857 |
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+ | 1.3509 | 0.21 | 1000 | 1.1356 | 0.6982 |
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+ | 1.3164 | 0.25 | 1200 | 1.1142 | 0.7017 |
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+ | 1.3237 | 0.29 | 1400 | 1.0661 | 0.7027 |
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+ | 1.2723 | 0.34 | 1600 | 1.0683 | 0.7225 |
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+ | 1.2762 | 0.38 | 1800 | 1.0722 | 0.7098 |
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+ | 1.298 | 0.42 | 2000 | 1.0303 | 0.7215 |
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+ | 1.256 | 0.46 | 2200 | 1.0969 | 0.7165 |
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+ | 1.2629 | 0.51 | 2400 | 1.0432 | 0.7193 |
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+ | 1.2527 | 0.55 | 2600 | 1.0621 | 0.7220 |
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+ | 1.1922 | 0.59 | 2800 | 1.0131 | 0.7270 |
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+ | 1.2399 | 0.63 | 3000 | 1.0079 | 0.7297 |
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+ | 1.2404 | 0.67 | 3200 | 1.0044 | 0.7292 |
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+ | 1.24 | 0.72 | 3400 | 1.0515 | 0.7263 |
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+ | 1.216 | 0.76 | 3600 | 1.0160 | 0.7233 |
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+ | 1.1973 | 0.8 | 3800 | 1.0072 | 0.7323 |
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+ | 1.2339 | 0.84 | 4000 | 1.0013 | 0.7318 |
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+ | 1.2114 | 0.88 | 4200 | 1.0025 | 0.7272 |
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+ | 1.2262 | 0.93 | 4400 | 0.9980 | 0.7297 |
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+ | 1.2621 | 0.97 | 4600 | 0.9977 | 0.7303 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.2
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.5
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+ - Tokenizers 0.13.3
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