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

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
train_batch_size: 2
eval_batch_size: 2
seed: 64939
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 16
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
2.5064	0.0060	1	2.5349
1.9334	0.2530	42	1.8756
1.7816	0.5060	84	1.7640
1.7553	0.7590	126	1.7354
1.5043	1.0120	168	1.7856
1.3543	1.2651	210	1.7375
1.3497	1.5181	252	1.7169
1.3095	1.7711	294	1.7083

Framework versions

Transformers 4.51.1
Pytorch 2.5.1+cu124
Datasets 3.5.0
Tokenizers 0.21.1

chargoddard/mistral-24b-reddit-writing-v1

mistral-24b-writing-v1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

chargoddard/
mistral-24b-reddit-writing-v1