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tinyllama-fitness
SneakySeal/tinyllama-fitness
tinyllama-fitness is a machine learning model from SneakySeal. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- apache-2.0
- Model type
- llama
- Access
- Public
- Created
- Jun 20, 2025
- Updated
- Jun 20, 2025
- SHA
- adeb3ff9
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
<details><summary>See axolotl config</summary>
axolotl version: 0.4.1
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
batch_size: 4
bf16: auto
data_seed: 49
datasets:
- path: its-myrto/fitness-question-answers
type:
field_instruction: Question
field_output: Answer
field_system: system
format: <|user|> {instruction} </s> <|assistant|>
no_input_format: <|user|> {instruction} </s> <|assistant|>
system_prompt: ''
learning_rate: 1.0e-05
logging_steps: 1
micro_batch_size: 4
model_type: LlamaForCausalLM
num_epochs: 1
optimizer: adamw_bnb_8bit
output_dir: ./models/TinyLlama_Fitness
seed: 49
sequence_length: 1024
tf32: false
tokenizer_type: LlamaTokenizer
val_set_size: 0.2
models/TinyLlama_Fitness
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8374
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 49
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6943 | 1.0 | 193 | 1.8374 |
Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Type
- llama
- License
- apache-2.0
- Created
- Jun 20, 2025
- Updated
- Jun 20, 2025