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AiAF / UFOs-Pretraining-V1
Model's Last Updated: February 10 2025
text-generation
Introduction of UFOs-Pretraining-V1
Model Details of UFOs-Pretraining-V1
See axolotl config
axolotl version:
0.6.0
base_model: mistralai/Mistral-7B-v0.1
# optionally might have model_type or tokenizer_type
model_type: MistralForCausalLM
tokenizer_type: LlamaTokenizer
# Automatically upload checkpoint and final model to HF
hub_model_id: AiAF/UFOs-Pretraining-V1
load_in_8bit: false
load_in_4bit: false
strict: false
datasets:
- path: AiAF/pretraining.jsonl
type: completion
dataset_prepared_path:
val_set_size: 0.05
output_dir: ./outputs/out
sequence_len: 8192
sample_packing: true
pad_to_sequence_len: true
eval_sample_packing: false
max_steps: 100000
wandb_project: "UFO_LLM_Pretraining"
wandb_entity:
wandb_watch: "all"
wandb_name: "UFO_LLM_Pretraining-V1.0"
wandb_log_model: "false"
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 4
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.000005
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: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed:
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens:
UFOs-Pretraining-V1
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the AiAF/pretraining.jsonl dataset. It achieves the following results on the evaluation set:
- Loss: 1.6503
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: 5e-06
- 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: 36
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7686 | 0.1111 | 1 | 1.6895 |
| 2.0582 | 0.3333 | 3 | 1.6884 |
| 1.9135 | 0.6667 | 6 | 1.6793 |
| 1.8261 | 1.0 | 9 | 1.6667 |
| 1.8757 | 1.3333 | 12 | 1.6570 |
| 1.8754 | 1.6667 | 15 | 1.6501 |
| 1.8426 | 2.0 | 18 | 1.6468 |
| 1.7298 | 2.3333 | 21 | 1.6536 |
| 1.4421 | 2.6667 | 24 | 1.6518 |
| 1.7533 | 3.0 | 27 | 1.6490 |
| 1.5505 | 3.3333 | 30 | 1.6498 |
| 1.4142 | 3.6667 | 33 | 1.6500 |
| 1.6097 | 4.0 | 36 | 1.6503 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
Runs of AiAF UFOs-Pretraining-V1 on huggingface.co
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More Information About UFOs-Pretraining-V1 huggingface.co Model
Url of UFOs-Pretraining-V1
UFOs-Pretraining-V1 huggingface.co Url
Provider of UFOs-Pretraining-V1 huggingface.co
Other API from AiAF
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