---
library_name: peft
base_model: EleutherAI/pythia-14m
tags:
- axolotl
- generated_from_trainer
model-index:
- name: miner1_c6f8f369-86ff-49b4-9737-598659d9e56b_1731003791
  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: EleutherAI/pythia-14m
bf16: auto
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
  - stsbenchmark-sts_train_data.json
  ds_type: json
  path: /workspace/input_data/stsbenchmark-sts_train_data.json
  type:
    field_input: sentence2
    field_instruction: sentence1
    field_output: genre
    system_format: '{system}'
    system_prompt: ''
debug: null
deepspeed: null
early_stopping_patience: 3
eval_max_new_tokens: 128
eval_steps: 10
eval_table_size: null
flash_attention: false
fp16: null
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 4
gradient_checkpointing: true
group_by_length: false
hours_to_complete: 2
hub_model_id: besimray/miner1_c6f8f369-86ff-49b4-9737-598659d9e56b_1731003791
hub_strategy: checkpoint
hub_token: null
learning_rate: 0.0002
load_in_4bit: false
load_in_8bit: true
local_rank: null
logging_steps: 1
lora_alpha: 32
lora_dropout: 0.05
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 32
lora_target_linear: true
lr_scheduler: cosine
max_steps: 500
micro_batch_size: 1
mlflow_experiment_name: /tmp/stsbenchmark-sts_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 3
optimizer: adamw_bnb_8bit
output_dir: miner_id_24
pad_to_sequence_len: true
resume_from_checkpoint: null
s2_attention: null
sample_packing: false
save_steps: 10
save_strategy: steps
sequence_len: 4096
started_at: '2024-11-07T18:23:11.087868'
strict: false
tf32: false
tokenizer_type: AutoTokenizer
train_on_inputs: false
trust_remote_code: true
val_set_size: 0.05
wandb_entity: besimray24-rayon
wandb_mode: online
wandb_project: Public_TuningSN
wandb_run: miner_id_24
wandb_runid: c6f8f369-86ff-49b4-9737-598659d9e56b
warmup_steps: 10
weight_decay: 0.0
xformers_attention: null

```

</details><br>

# miner1_c6f8f369-86ff-49b4-9737-598659d9e56b_1731003791

This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingface.co/EleutherAI/pythia-14m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3630

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_BNB 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: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 40.0055       | 0.0005 | 1    | 9.8570          |
| 30.1781       | 0.0049 | 10   | 6.9379          |
| 12.6173       | 0.0099 | 20   | 2.6532          |
| 0.7716        | 0.0148 | 30   | 1.0332          |
| 4.4465        | 0.0198 | 40   | 0.9309          |
| 1.9365        | 0.0247 | 50   | 0.6442          |
| 1.6955        | 0.0296 | 60   | 0.6789          |
| 2.1402        | 0.0346 | 70   | 0.4198          |
| 1.961         | 0.0395 | 80   | 0.3730          |
| 2.0024        | 0.0444 | 90   | 0.4597          |
| 0.1765        | 0.0494 | 100  | 0.7099          |
| 0.996         | 0.0543 | 110  | 0.3618          |
| 2.5274        | 0.0593 | 120  | 0.3091          |
| 0.6428        | 0.0642 | 130  | 0.2816          |
| 0.6649        | 0.0691 | 140  | 0.3415          |
| 0.2853        | 0.0741 | 150  | 0.3710          |
| 0.6265        | 0.0790 | 160  | 0.3630          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.3.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1