elliottfitzgerald
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End of training
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README.md
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---
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license: other
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base_model: facebook/opt-125m
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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: opt-125m-finetuned-mnli-mm
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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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# opt-125m-finetuned-mnli-mm
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This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9714
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- Accuracy: 0.5174
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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: 16
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- eval_batch_size: 16
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- seed: 42
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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: 10
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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 | 1 | 1.0253 | 0.5172 |
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| No log | 2.0 | 2 | 0.9714 | 0.5174 |
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| No log | 3.0 | 3 | 0.8388 | 0.5168 |
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| No log | 4.0 | 4 | 0.7774 | 0.5144 |
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| No log | 5.0 | 5 | 0.7668 | 0.5104 |
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| No log | 6.0 | 6 | 0.7845 | 0.5108 |
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| No log | 7.0 | 7 | 0.8156 | 0.5138 |
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| No log | 8.0 | 8 | 0.8515 | 0.5128 |
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| No log | 9.0 | 9 | 0.8807 | 0.5138 |
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| No log | 10.0 | 10 | 0.8944 | 0.5153 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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model.safetensors
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runs/May01_01-22-02_0510fc120d26/events.out.tfevents.1714526720.0510fc120d26.179.3
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