---
license: cc-by-nc-4.0
base_model: AIDC-ai-business/Marcoroni-7B
tags:
- generated_from_trainer
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [AIDC-ai-business/Marcoroni-7B](https://huggingface.co/AIDC-ai-business/Marcoroni-7B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7324

## 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: 8e-06
- train_batch_size: 48
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6335        | 0.02  | 4    | 2.8691          |
| 1.5666        | 0.03  | 8    | 2.8173          |
| 1.4985        | 0.05  | 12   | 2.8003          |
| 1.4244        | 0.06  | 16   | 2.7800          |
| 1.4245        | 0.08  | 20   | 2.7674          |
| 1.3865        | 0.09  | 24   | 2.7675          |
| 1.3887        | 0.11  | 28   | 2.7687          |
| 1.3794        | 0.12  | 32   | 2.7641          |
| 1.3581        | 0.14  | 36   | 2.7628          |
| 1.3712        | 0.15  | 40   | 2.7578          |
| 1.328         | 0.17  | 44   | 2.7535          |
| 1.3937        | 0.19  | 48   | 2.7494          |
| 1.3843        | 0.2   | 52   | 2.7387          |
| 1.2925        | 0.22  | 56   | 2.7368          |
| 1.3135        | 0.23  | 60   | 2.7375          |
| 1.3633        | 0.25  | 64   | 2.7335          |
| 1.326         | 0.26  | 68   | 2.7365          |
| 1.3392        | 0.28  | 72   | 2.7361          |
| 1.2583        | 0.29  | 76   | 2.7316          |
| 1.2652        | 0.31  | 80   | 2.7353          |
| 1.2756        | 0.32  | 84   | 2.7394          |
| 1.2966        | 0.34  | 88   | 2.7400          |
| 1.359         | 0.36  | 92   | 2.7348          |
| 1.3704        | 0.37  | 96   | 2.7342          |
| 1.3389        | 0.39  | 100  | 2.7330          |
| 1.3471        | 0.4   | 104  | 2.7336          |
| 1.3288        | 0.42  | 108  | 2.7380          |
| 1.2856        | 0.43  | 112  | 2.7382          |
| 1.3277        | 0.45  | 116  | 2.7380          |
| 1.2779        | 0.46  | 120  | 2.7414          |
| 1.2967        | 0.48  | 124  | 2.7403          |
| 1.2586        | 0.5   | 128  | 2.7433          |
| 1.2652        | 0.51  | 132  | 2.7407          |
| 1.3011        | 0.53  | 136  | 2.7399          |
| 1.3377        | 0.54  | 140  | 2.7415          |
| 1.295         | 0.56  | 144  | 2.7384          |
| 1.3342        | 0.57  | 148  | 2.7344          |
| 1.3309        | 0.59  | 152  | 2.7409          |
| 1.3463        | 0.6   | 156  | 2.7394          |
| 1.3104        | 0.62  | 160  | 2.7353          |
| 1.2692        | 0.63  | 164  | 2.7380          |
| 1.364         | 0.65  | 168  | 2.7386          |
| 1.2888        | 0.67  | 172  | 2.7370          |
| 1.3238        | 0.68  | 176  | 2.7380          |
| 1.2687        | 0.7   | 180  | 2.7371          |
| 1.2405        | 0.71  | 184  | 2.7396          |
| 1.3065        | 0.73  | 188  | 2.7388          |
| 1.2774        | 0.74  | 192  | 2.7424          |
| 1.3195        | 0.76  | 196  | 2.7382          |
| 1.2521        | 0.77  | 200  | 2.7413          |
| 1.2922        | 0.79  | 204  | 2.7393          |
| 1.3293        | 0.8   | 208  | 2.7394          |
| 1.3062        | 0.82  | 212  | 2.7362          |
| 1.2978        | 0.84  | 216  | 2.7394          |
| 1.3054        | 0.85  | 220  | 2.7359          |
| 1.3377        | 0.87  | 224  | 2.7383          |
| 1.3088        | 0.88  | 228  | 2.7363          |
| 1.296         | 0.9   | 232  | 2.7347          |
| 1.3099        | 0.91  | 236  | 2.7394          |
| 1.3008        | 0.93  | 240  | 2.7358          |
| 1.2943        | 0.94  | 244  | 2.7417          |
| 1.3035        | 0.96  | 248  | 2.7398          |
| 1.3877        | 0.97  | 252  | 2.7390          |
| 1.3324        | 0.99  | 256  | 2.7324          |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.6.dev0
- Tokenizers 0.14.0