---
license: apache-2.0
base_model: albert/albert-base-v2
tags:
- generated_from_trainer
model-index:
- name: output
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# output

This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3331
- Memory Allocated (gb): 5.75
- Max Memory Allocated (gb): 10.76
- Total Memory Available (gb): 94.62

## 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: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: reduce_lr_on_plateau
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Allocated (gb) | Memory Allocated (gb) | Memory Available (gb) |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:---------------------:|:---------------------:|
| No log        | 1.0   | 391  | 0.2682          | 5.75           | 10.76                 | 94.62                 |
| No log        | 2.0   | 782  | 0.2636          | 5.75           | 10.76                 | 94.62                 |
| No log        | 3.0   | 1173 | 0.2861          | 5.75           | 10.76                 | 94.62                 |
| 0.2178        | 4.0   | 1564 | 0.3331          | 5.75           | 10.76                 | 94.62                 |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.2a0+gitb5d0b9b
- Datasets 2.19.1
- Tokenizers 0.19.1