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README.md
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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_1_18
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results: []
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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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# checkpoints_1_18
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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: 1.1661
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- Map@3: 0.6962
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Map@3 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 1.4957 | 0.8 | 100 | 1.2295 | 0.6432 |
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| 1.2396 | 1.6 | 200 | 1.1661 | 0.6962 |
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### Framework versions
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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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