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End of training
Browse files- README.md +64 -0
- model.safetensors +1 -1
README.md
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---
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license: mit
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base_model: MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: distilbert-small-ESGmulti-classification-impactleng
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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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# distilbert-small-ESGmulti-classification-impactleng
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This model is a fine-tuned version of [MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7](https://huggingface.co/MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3528
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- Accuracy: 0.4083
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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: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 4
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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: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 60 | 1.0819 | 0.4417 |
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| No log | 2.0 | 120 | 1.2385 | 0.4083 |
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| No log | 3.0 | 180 | 1.3528 | 0.4083 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.17.1
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- Tokenizers 0.15.2
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model.safetensors
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size 1115271284
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version https://git-lfs.github.com/spec/v1
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size 1115271284
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