chargoddard/mistral-24b-reddit-writing-v1
<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/> <details><summary>See axolotl config</summary>
axolotl version: 0.8.0
base_model: /workspace/models/mistral3p1-24b-textonly
tokenizer_config: IntervitensInc/Mistral-Small-24B-Instruct-2501-chatml
load_in_8bit: false
load_in_4bit: false
strict: false
plugins:
- axolotl.integrations.liger.LigerPlugin
liger_rope: true
liger_rms_norm: true
liger_glu_activation: true
liger_fused_linear_cross_entropy: true
datasets:
- path: chargoddard/reddit-writing-prompts-reprompted
type: chat_template
field_messages: messages
message_field_role: role
message_field_content: content
roles:
system:
- system
user:
- human
- user
assistant:
- gpt
- assistant
- path: chargoddard/reddit-writing-advice-r1-messages
type: chat_template
field_messages: messages
message_field_role: role
message_field_content: content
roles:
system:
- system
user:
- human
- user
assistant:
- gpt
- assistant
- path: chargoddard/persona-evolve-v0-sft
type: chat_template
field_messages: messages
message_field_role: role
message_field_content: content
roles:
system:
- system
user:
- human
- user
assistant:
- gpt
- assistant
dataset_prepared_path: /workspace/data/prepared_datasets
chat_template: chatml
shuffle_merged_datasets: true
val_set_size: 0.02
output_dir: /workspace/models/mistral-24b-writing
sequence_len: 16384
sample_packing: true
eval_sample_packing: false
pad_to_sequence_len: true
wandb_project: mistral-24b-writing
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 2
optimizer: paged_adamw_8bit
lr_scheduler: cosine
learning_rate: 0.00002
max_grad_norm: 3
train_on_inputs: true
group_by_length: false
bf16: auto
fp16:
tf32: false
gradient_checkpointing: true
gradient_checkpointing_kwargs:
use_reentrant: false
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_ratio: 0.02
saves_per_epoch: 8
evals_per_epoch: 4
save_total_limit: 5
save_safetensors: true
hub_model_id: chargoddard/mistral-24b-writing-v1
hub_strategy: every_save
debug:
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16.json
weight_decay: 0.01
seed: 64939
</details><br>
mistral-24b-writing-v1
This model was trained from scratch on the chargoddard/reddit-writing-prompts-reprompted, the chargoddard/reddit-writing-advice-r1-messages and the arcee-train/persona-evolve-v1-sft datasets. It achieves the following results on the evaluation set:
- Loss: 1.7083
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: 2e-05
- trainbatchsize: 2
- evalbatchsize: 2
- seed: 64939
- distributed_type: multi-GPU
- num_devices: 8
- gradientaccumulationsteps: 4
- totaltrainbatch_size: 64
- totalevalbatch_size: 16
- optimizer: Use pagedadamw8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lrschedulertype: cosine
- lrschedulerwarmup_steps: 6
- num_epochs: 2.0
Training results
Framework versions
- Transformers 4.51.1
- Pytorch 2.5.1+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1