---
base_model: hhhhzy/deltalm-base-xlsum
tags:
- generated_from_trainer
model-index:
- name: T10
  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. -->

# T10

This model is a fine-tuned version of [hhhhzy/deltalm-base-xlsum](https://huggingface.co/hhhhzy/deltalm-base-xlsum) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6357

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 64

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.805         | 1.0   | 6    | 0.3684          |
| 0.2843        | 2.0   | 12   | 0.3604          |
| 0.2494        | 3.0   | 18   | 0.3970          |
| 0.1528        | 4.0   | 24   | 0.4507          |
| 0.0779        | 5.0   | 30   | 0.5024          |
| 0.0482        | 6.0   | 36   | 0.5399          |
| 0.0246        | 7.0   | 42   | 0.5612          |
| 0.0202        | 8.0   | 48   | 0.5788          |
| 0.0172        | 9.0   | 54   | 0.6024          |
| 0.0147        | 10.0  | 60   | 0.6003          |
| 0.0115        | 11.0  | 66   | 0.5960          |
| 0.0124        | 12.0  | 72   | 0.6035          |
| 0.0122        | 13.0  | 78   | 0.6135          |
| 0.0121        | 14.0  | 84   | 0.6105          |
| 0.0101        | 15.0  | 90   | 0.6155          |
| 0.0103        | 16.0  | 96   | 0.6188          |
| 0.0087        | 17.0  | 102  | 0.6192          |
| 0.015         | 18.0  | 108  | 0.6113          |
| 0.0092        | 19.0  | 114  | 0.6141          |
| 0.0091        | 20.0  | 120  | 0.6220          |
| 0.0088        | 21.0  | 126  | 0.6243          |
| 0.009         | 22.0  | 132  | 0.6239          |
| 0.0085        | 23.0  | 138  | 0.6199          |
| 0.0093        | 24.0  | 144  | 0.6183          |
| 0.0092        | 25.0  | 150  | 0.6170          |
| 0.0086        | 26.0  | 156  | 0.6154          |
| 0.0084        | 27.0  | 162  | 0.6154          |
| 0.0082        | 28.0  | 168  | 0.6182          |
| 0.0083        | 29.0  | 174  | 0.6224          |
| 0.0082        | 30.0  | 180  | 0.6250          |
| 0.0086        | 31.0  | 186  | 0.6263          |
| 0.0078        | 32.0  | 192  | 0.6270          |
| 0.0081        | 33.0  | 198  | 0.6271          |
| 0.0081        | 34.0  | 204  | 0.6276          |
| 0.0082        | 35.0  | 210  | 0.6280          |
| 0.0078        | 36.0  | 216  | 0.6292          |
| 0.0078        | 37.0  | 222  | 0.6302          |
| 0.0079        | 38.0  | 228  | 0.6314          |
| 0.0081        | 39.0  | 234  | 0.6319          |
| 0.0083        | 40.0  | 240  | 0.6318          |
| 0.0076        | 41.0  | 246  | 0.6317          |
| 0.0079        | 42.0  | 252  | 0.6309          |
| 0.0084        | 43.0  | 258  | 0.6304          |
| 0.0078        | 44.0  | 264  | 0.6307          |
| 0.0079        | 45.0  | 270  | 0.6309          |
| 0.0076        | 46.0  | 276  | 0.6312          |
| 0.0076        | 47.0  | 282  | 0.6313          |
| 0.008         | 48.0  | 288  | 0.6316          |
| 0.0081        | 49.0  | 294  | 0.6320          |
| 0.0077        | 50.0  | 300  | 0.6323          |
| 0.0075        | 51.0  | 306  | 0.6328          |
| 0.0077        | 52.0  | 312  | 0.6336          |
| 0.0076        | 53.0  | 318  | 0.6342          |
| 0.0077        | 54.0  | 324  | 0.6344          |
| 0.0075        | 55.0  | 330  | 0.6346          |
| 0.0079        | 56.0  | 336  | 0.6350          |
| 0.0076        | 57.0  | 342  | 0.6350          |
| 0.0078        | 58.0  | 348  | 0.6355          |
| 0.0077        | 59.0  | 354  | 0.6357          |
| 0.0074        | 60.0  | 360  | 0.6358          |
| 0.0075        | 61.0  | 366  | 0.6358          |
| 0.0075        | 62.0  | 372  | 0.6358          |
| 0.0077        | 63.0  | 378  | 0.6357          |
| 0.0073        | 64.0  | 384  | 0.6357          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1