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Sponsored by
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Mawdistical / Draconic-Tease-LoRa
Model's Last Updated: April 06 2025
Introduction of Draconic-Tease-LoRa
Model Details of Draconic-Tease-LoRa
See axolotl config
axolotl version:
0.7.0
base_model: Steelskull/L3.3-Electra-R1-70b
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
model_config:
trust_remote_code: true
tokenizer:
pad_token: "</s>"
padding_side: "right"
datasets:
- path: data/data.jsonl
type: chat_template
field_messages: conversations
message_field_role: role
message_field_content: content
load_in_4bit: true
adapter: qlora
lora_r: 64
lora_alpha: 32
lora_dropout: 0.1
lora_target_modules:
- q_proj
- k_proj
- v_proj
- o_proj
- gate_proj
- up_proj
- down_proj
wandb_project: mawzilla
wandb_name: Purring-stats
val_set_size: 0.01
evals_per_epoch: 2
eval_sample_packing: false
eval_max_new_tokens: 128
lora_modules_to_save:
- embed_tokens
- lm_head
bf16: true
flash_attention: true
gradient_checkpointing: unsloth
deepspeed: deepspeed_configs/zero3_bf16.json
gradient_accumulation_steps: 4
micro_batch_size: 8
num_epochs: 2
optimizer: paged_adamw_8bit
lr_scheduler: cosine
learning_rate: 1e-5
warmup_ratio: 0.03
max_seq_length: 8192
pad_to_sequence_len: false
sample_packing: true
output_dir: ./output
save_steps: 100
logging_steps: 10
save_safetensors: true
special_tokens:
pad_token: "<|finetune_right_pad_id|>"
eos_token: "<|eot_id|>"
output
This model is a fine-tuned version of Steelskull/L3.3-Electra-R1-70b on the data/data.jsonl dataset. It achieves the following results on the evaluation set:
- Loss: 2.1095
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use paged_adamw_8bit 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: 6
- num_epochs: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0094 | 1 | 2.7519 |
| 2.39 | 0.5 | 53 | 2.3200 |
| 2.1579 | 1.0 | 106 | 2.1615 |
| 1.9126 | 1.5 | 159 | 2.1168 |
| 1.9958 | 2.0 | 212 | 2.1095 |
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.1
Runs of Mawdistical Draconic-Tease-LoRa on huggingface.co
6
Total runs
0
24-hour runs
0
3-day runs
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7-day runs
0
30-day runs
More Information About Draconic-Tease-LoRa huggingface.co Model
Url of Draconic-Tease-LoRa
Draconic-Tease-LoRa huggingface.co Url
Provider of Draconic-Tease-LoRa huggingface.co
Other API from Mawdistical
Updated:May 31 2025
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