---
base_model: EleutherAI/pythia-14m
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: pythia-14m-measurement_pred
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# pythia-14m-measurement_pred

This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingface.co/EleutherAI/pythia-14m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4923
- Accuracy: 0.25
- Accuracy Sensor 0: 1.0
- Auroc Sensor 0: 0.0
- Accuracy Sensor 1: 0.0
- Auroc Sensor 1: 0.0
- Accuracy Sensor 2: 0.0
- Auroc Sensor 2: 0.0
- Accuracy Aggregated: 0.0
- Auroc Aggregated: 0.0

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 64
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Accuracy Sensor 0 | Auroc Sensor 0 | Accuracy Sensor 1 | Auroc Sensor 1 | Accuracy Sensor 2 | Auroc Sensor 2 | Accuracy Aggregated | Auroc Aggregated |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------------:|:--------------:|:-----------------:|:--------------:|:-----------------:|:--------------:|:-------------------:|:----------------:|
| No log        | 1.0   | 1    | 3.7439          | 0.25     | 1.0               | 0.0            | 0.0               | 0.0            | 0.0               | 0.0            | 0.0                 | 0.0              |
| No log        | 2.0   | 2    | 3.7212          | 0.25     | 1.0               | 0.0            | 0.0               | 0.0            | 0.0               | 0.0            | 0.0                 | 0.0              |
| No log        | 3.0   | 3    | 3.6754          | 0.25     | 1.0               | 0.0            | 0.0               | 0.0            | 0.0               | 0.0            | 0.0                 | 0.0              |
| No log        | 4.0   | 4    | 3.6005          | 0.25     | 1.0               | 0.0            | 0.0               | 0.0            | 0.0               | 0.0            | 0.0                 | 0.0              |
| No log        | 5.0   | 5    | 3.4923          | 0.25     | 1.0               | 0.0            | 0.0               | 0.0            | 0.0               | 0.0            | 0.0                 | 0.0              |


### Framework versions

- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1