Fischerboot / C1-test-full

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Total runs: 1
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: August 30 2024

Introduction of C1-test-full

Model Details of C1-test-full

Built with Axolotl

See axolotl config

axolotl version: 0.4.0

base_model: Fischerboot/ll3-c3-merged
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer

load_in_8bit: false
load_in_4bit: true
strict: false

datasets:
  - path: Fischerboot/new-new-carlotta-data
    type: alpaca
dataset_prepared_path:
val_set_size: 0
output_dir: ./outputs/qlora-out-c2

adapter: qlora
lora_model_dir:

sequence_len: 8092
sample_packing: false
pad_to_sequence_len: true

lora_r: 8
lora_alpha: 4
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: 1
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
eval_table_size:
saves_per_epoch: 3
debug:
deepspeed:
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens:
  pad_token: "<|end_of_text|>"

outputs/qlora-out-c2

This model is a fine-tuned version of Fischerboot/ll3-c3-merged on the None dataset.

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 10
  • num_epochs: 1
Training results
Framework versions
  • PEFT 0.10.0
  • Transformers 4.40.2
  • Pytorch 2.1.2+cu118
  • Datasets 2.19.1
  • Tokenizers 0.19.1

Runs of Fischerboot C1-test-full on huggingface.co

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C1-test-full huggingface.co

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Fischerboot C1-test-full online free

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Fischerboot C1-test-full online free url in huggingface.co:

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C1-test-full is an open source model from GitHub that offers a free installation service, and any user can find C1-test-full on GitHub to install. At the same time, huggingface.co provides the effect of C1-test-full install, users can directly use C1-test-full installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

C1-test-full install url in huggingface.co:

https://huggingface.co/Fischerboot/C1-test-full

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Provider of C1-test-full huggingface.co

Fischerboot
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