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Fischerboot/stablelm-zephyr-3b-freedomrp-qlora-adapter-model
stablelm-zephyr-3b-freedomrp-qlora-adapter-model is a machine learning model from Fischerboot. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
axolotl version: 0.4.1
base_model: stabilityai/stablelm-zephyr-3b
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
load_in_8bit: false
load_in_4bit: true
strict: false
datasets:
- path: Dogge/freedom-rp-alpaca
type: alpaca
dataset_prepared_path:
val_set_size: 0.05
output_dir: ./out/freedomrp
adapter: qlora
lora_model_dir:
sequence_len: 1024
sample_packing: true
pad_to_sequence_len: true
lora_r: 16
lora_alpha: 8
lora_dropout: 0.05
lora_target_modules:
lora_target_linear: true
lora_fan_in_fan_out:
wandb_project:
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 2
optimizer: paged_adamw_32bit
lr_scheduler: cosine
learning_rate: 0.0002
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: false
gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 10
evals_per_epoch: 1
saves_per_epoch: 1
debug:
deepspeed:
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens:
</details><br>
This model is a fine-tuned version of stabilityai/stablelm-zephyr-3b on the None dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.4951 | 0.004 | 1 | 6.0763 |
| 2.2086 | 1.0 | 250 | 2.3051 |
| 2.253 | 1.984 | 500 | 2.2772 |