---
library_name: peft
license: mit
base_model: fxmarty/really-tiny-falcon-testing
tags:
- axolotl
- generated_from_trainer
model-index:
- name: miner1_3b9799d7-12b3-4975-ab6f-be3bd7705350_1731029029
results: []
---
[
](https://github.com/axolotl-ai-cloud/axolotl)
See axolotl config
axolotl version: `0.4.1`
```yaml
adapter: lora
base_model: fxmarty/really-tiny-falcon-testing
bf16: auto
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
- ultrafeedback_binarized_cleaned_train_data.json
ds_type: json
path: /workspace/input_data/ultrafeedback_binarized_cleaned_train_data.json
type:
field_input: source
field_instruction: prompt
field_output: prompt_id
system_format: '{system}'
system_prompt: ''
debug: null
deepspeed: null
early_stopping_patience: 1
eval_max_new_tokens: 128
eval_steps: 5
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: 5
hub_model_id: besimray/miner1_3b9799d7-12b3-4975-ab6f-be3bd7705350_1731029029
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: 2
mlflow_experiment_name: /tmp/ultrafeedback_binarized_cleaned_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 4
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: '2024-11-08T01:23:49.735921'
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: 3b9799d7-12b3-4975-ab6f-be3bd7705350
warmup_steps: 10
weight_decay: 0.0
xformers_attention: null
```
# miner1_3b9799d7-12b3-4975-ab6f-be3bd7705350_1731029029
This model is a fine-tuned version of [fxmarty/really-tiny-falcon-testing](https://huggingface.co/fxmarty/really-tiny-falcon-testing) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 11.0185
## 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_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 |
|:-------------:|:------:|:----:|:---------------:|
| 44.3865 | 0.0000 | 1 | 11.0934 |
| 44.389 | 0.0002 | 5 | 11.0931 |
| 44.3678 | 0.0005 | 10 | 11.0919 |
| 44.3563 | 0.0007 | 15 | 11.0899 |
| 44.3507 | 0.0009 | 20 | 11.0876 |
| 44.3368 | 0.0011 | 25 | 11.0852 |
| 44.3137 | 0.0014 | 30 | 11.0826 |
| 44.2998 | 0.0016 | 35 | 11.0797 |
| 44.3223 | 0.0018 | 40 | 11.0766 |
| 44.2864 | 0.0020 | 45 | 11.0724 |
| 44.3044 | 0.0023 | 50 | 11.0679 |
| 44.2155 | 0.0025 | 55 | 11.0627 |
| 44.2277 | 0.0027 | 60 | 11.0574 |
| 44.1989 | 0.0029 | 65 | 11.0519 |
| 44.1718 | 0.0032 | 70 | 11.0467 |
| 44.0926 | 0.0034 | 75 | 11.0422 |
| 44.1955 | 0.0036 | 80 | 11.0389 |
| 44.1445 | 0.0038 | 85 | 11.0364 |
| 44.173 | 0.0041 | 90 | 11.0346 |
| 44.119 | 0.0043 | 95 | 11.0335 |
| 44.1072 | 0.0045 | 100 | 11.0327 |
| 44.0926 | 0.0047 | 105 | 11.0319 |
| 44.1488 | 0.0050 | 110 | 11.0308 |
| 44.1395 | 0.0052 | 115 | 11.0298 |
| 44.1485 | 0.0054 | 120 | 11.0291 |
| 44.1329 | 0.0056 | 125 | 11.0284 |
| 44.1311 | 0.0059 | 130 | 11.0280 |
| 44.1152 | 0.0061 | 135 | 11.0274 |
| 44.1053 | 0.0063 | 140 | 11.0267 |
| 44.0868 | 0.0066 | 145 | 11.0261 |
| 44.1361 | 0.0068 | 150 | 11.0255 |
| 44.1322 | 0.0070 | 155 | 11.0251 |
| 44.1098 | 0.0072 | 160 | 11.0246 |
| 44.1007 | 0.0075 | 165 | 11.0242 |
| 44.0995 | 0.0077 | 170 | 11.0239 |
| 44.114 | 0.0079 | 175 | 11.0235 |
| 44.0501 | 0.0081 | 180 | 11.0231 |
| 44.118 | 0.0084 | 185 | 11.0229 |
| 44.0967 | 0.0086 | 190 | 11.0228 |
| 44.1646 | 0.0088 | 195 | 11.0226 |
| 44.0501 | 0.0090 | 200 | 11.0225 |
| 44.0946 | 0.0093 | 205 | 11.0222 |
| 44.047 | 0.0095 | 210 | 11.0219 |
| 44.0339 | 0.0097 | 215 | 11.0216 |
| 44.1334 | 0.0099 | 220 | 11.0214 |
| 44.1315 | 0.0102 | 225 | 11.0212 |
| 44.0785 | 0.0104 | 230 | 11.0210 |
| 44.0846 | 0.0106 | 235 | 11.0209 |
| 44.0812 | 0.0108 | 240 | 11.0208 |
| 44.0548 | 0.0111 | 245 | 11.0205 |
| 44.0861 | 0.0113 | 250 | 11.0203 |
| 44.1121 | 0.0115 | 255 | 11.0202 |
| 44.0327 | 0.0118 | 260 | 11.0201 |
| 44.1155 | 0.0120 | 265 | 11.0199 |
| 44.0547 | 0.0122 | 270 | 11.0198 |
| 44.0969 | 0.0124 | 275 | 11.0198 |
| 44.0746 | 0.0127 | 280 | 11.0197 |
| 44.0535 | 0.0129 | 285 | 11.0195 |
| 44.1303 | 0.0131 | 290 | 11.0194 |
| 44.1142 | 0.0133 | 295 | 11.0193 |
| 44.0685 | 0.0136 | 300 | 11.0192 |
| 44.1292 | 0.0138 | 305 | 11.0191 |
| 44.0637 | 0.0140 | 310 | 11.0190 |
| 44.1035 | 0.0142 | 315 | 11.0189 |
| 44.0725 | 0.0145 | 320 | 11.0189 |
| 44.1142 | 0.0147 | 325 | 11.0189 |
| 44.005 | 0.0149 | 330 | 11.0189 |
| 44.0686 | 0.0151 | 335 | 11.0188 |
| 44.059 | 0.0154 | 340 | 11.0187 |
| 44.0642 | 0.0156 | 345 | 11.0187 |
| 44.0906 | 0.0158 | 350 | 11.0187 |
| 44.0386 | 0.0160 | 355 | 11.0186 |
| 44.0478 | 0.0163 | 360 | 11.0186 |
| 44.144 | 0.0165 | 365 | 11.0185 |
| 44.0354 | 0.0167 | 370 | 11.0185 |
| 44.0702 | 0.0169 | 375 | 11.0185 |
### Framework versions
- PEFT 0.13.2
- Transformers 4.46.1
- Pytorch 2.3.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.3