Model save
Browse files- README.md +66 -0
- model.safetensors +1 -1
README.md
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---
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license: mit
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base_model: microsoft/deberta-v3-small
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tags:
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- generated_from_trainer
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model-index:
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- name: deberta-v3-small-sp500-edgar-10k-markdown-1024-vN
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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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# deberta-v3-small-sp500-edgar-10k-markdown-1024-vN
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This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0005
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- Mse: 0.0005
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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: 4
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- eval_batch_size: 4
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- seed: 30826
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.05
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- num_epochs: 3.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Mse |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.0064 | 0.54 | 50 | 0.0006 | 0.0006 |
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| 0.0043 | 1.08 | 100 | 0.0005 | 0.0005 |
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| 0.0028 | 1.61 | 150 | 0.0006 | 0.0006 |
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| 0.0025 | 2.15 | 200 | 0.0005 | 0.0005 |
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| 0.0025 | 2.69 | 250 | 0.0005 | 0.0005 |
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### Framework versions
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- Transformers 4.38.0.dev0
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- Pytorch 2.2.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.2
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model.safetensors
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