metadata
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
datasets:
- Salesforce/dialogstudio
model-index:
- name: tweet-summarization-llama-2-finetuned
results: []
tweet-summarization-llama-2-finetuned
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the Salesforce/dialogstudio dataset. It achieves the following results on the evaluation set:
- Loss: 1.8672
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8996 | 1.0 | 55 | 1.9491 |
| 1.8415 | 2.0 | 110 | 1.8857 |
| 1.7693 | 3.0 | 165 | 1.8749 |
| 1.7136 | 4.0 | 220 | 1.8678 |
| 1.7533 | 5.0 | 275 | 1.8663 |
| 1.6182 | 6.0 | 330 | 1.8665 |
| 1.69 | 7.0 | 385 | 1.8672 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3