---
library_name: peft
license: apache-2.0
base_model: unsloth/gemma-7b-it
tags:
- axolotl
- generated_from_trainer
model-index:
- name: c2ea0498-877c-4acc-afee-824cd273b65b
  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. -->

[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<details><summary>See axolotl config</summary>

axolotl version: `0.4.1`
```yaml
adapter: lora
base_model: unsloth/gemma-7b-it
bf16: auto
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
  - d3a493716f6e2cfc_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/d3a493716f6e2cfc_train_data.json
  type:
    field_instruction: instruction
    field_output: output
    format: '{instruction}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
debug: null
deepspeed: null
early_stopping_patience: null
eval_max_new_tokens: 128
eval_table_size: null
evals_per_epoch: 4
flash_attention: true
fp16: null
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 4
gradient_checkpointing: false
group_by_length: false
hub_model_id: dimasik2987/c2ea0498-877c-4acc-afee-824cd273b65b
hub_repo: null
hub_strategy: checkpoint
hub_token: null
learning_rate: 0.0002
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 1
lora_alpha: 32
lora_dropout: 0.1
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 16
lora_target_linear: true
lr_scheduler: cosine
max_memory:
  0: 70GiB
max_steps: 50
micro_batch_size: 2
mlflow_experiment_name: /tmp/d3a493716f6e2cfc_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 4
optimizer: adamw_torch
output_dir: miner_id_24
pad_to_sequence_len: true
resume_from_checkpoint: null
s2_attention: null
sample_packing: false
saves_per_epoch: 4
sequence_len: 2028
strict: false
tf32: true
tokenizer_type: AutoTokenizer
train_on_inputs: false
trust_remote_code: true
val_set_size: 0.05
wandb_entity: null
wandb_mode: online
wandb_name: c2ea0498-877c-4acc-afee-824cd273b65b
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: c2ea0498-877c-4acc-afee-824cd273b65b
warmup_steps: 10
weight_decay: 0.0
xformers_attention: null

```

</details><br>

# c2ea0498-877c-4acc-afee-824cd273b65b

This model is a fine-tuned version of [unsloth/gemma-7b-it](https://huggingface.co/unsloth/gemma-7b-it) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8695

## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- training_steps: 50

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 6.0527        | 0.0003 | 1    | 6.0044          |
| 5.7049        | 0.0011 | 4    | 5.3221          |
| 4.8208        | 0.0022 | 8    | 4.7974          |
| 4.6573        | 0.0032 | 12   | 4.3501          |
| 4.3413        | 0.0043 | 16   | 4.1655          |
| 3.9503        | 0.0054 | 20   | 4.0563          |
| 3.8613        | 0.0065 | 24   | 3.9951          |
| 3.8325        | 0.0075 | 28   | 3.9434          |
| 3.8763        | 0.0086 | 32   | 3.9117          |
| 3.8541        | 0.0097 | 36   | 3.8942          |
| 3.9238        | 0.0108 | 40   | 3.8838          |
| 3.8976        | 0.0118 | 44   | 3.8724          |
| 4.0901        | 0.0129 | 48   | 3.8695          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1