---
library_name: transformers
license: apache-2.0
base_model: EleutherAI/gpt-j-6b
tags:
- generated_from_trainer
datasets:
- ToastyPigeon/disco-chat
model-index:
- name: ckpts
  results: []
---

<!-- 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"/>](https://github.com/axolotl-ai-cloud/axolotl)
<details><summary>See axolotl config</summary>

axolotl version: `0.6.0`
```yaml
base_model: EleutherAI/gpt-j-6b

load_in_8bit: false
load_in_4bit: false

#plugins:
#  - axolotl.integrations.liger.LigerPlugin
#liger_rope: true
#liger_rms_norm: true
#liger_glu_activation: true
#liger_fused_linear_cross_entropy: true

#unsloth_lora_mlp: true
#unsloth_lora_qkv: true
#unsloth_lora_o: true

strict: false

datasets:
  - path: ToastyPigeon/disco-chat
    type: completion
    field: text
    split: train

dataset_prepared_path: last_run_prepared
#val_set_size: 0.02
output_dir: ./ckpts

sequence_len: 2048
sample_packing: false
pad_to_sequence_len: true

#wandb_project: teleut-7b-rp
#wandb_entity:
#wandb_watch:
#wandb_name:
#wandb_log_model: checkpoint

# mlflow configuration if you're using it
#mlflow_tracking_uri: https://public-tracking.mlflow-e00zzfjq11ky6jcgtv.backbone-e00bgn6e63256prmhq.msp.eu-north1.nebius.cloud
#mlflow_experiment_name: gpt-j-6b-disco-chat
#mlflow_run_name: v1
#hf_mlflow_log_artifacts: true

gradient_accumulation_steps: 4
micro_batch_size: 4
num_epochs: 2
optimizer: paged_ademamix_8bit
lr_scheduler: cosine
learning_rate: 1e-5

train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: false

gradient_checkpointing: unsloth
gradient_checkpointing_kwargs:
  use_reentrant: false
early_stopping_patience:
resume_from_checkpoint:
logging_steps: 1
xformers_attention:
flash_attention: true

#deepspeed: deepspeed_configs/zero3_bf16.json

warmup_steps: 25
#evals_per_epoch: 4
eval_table_size:
saves_per_epoch: 1
debug:
weight_decay: 0.01

special_tokens:
  pad_token: "<|endoftext|>"

```

</details><br>

# ckpts

This model is a fine-tuned version of [EleutherAI/gpt-j-6b](https://huggingface.co/EleutherAI/gpt-j-6b) on the ToastyPigeon/disco-chat 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use paged_ademamix_8bit and the args are:
No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 25
- num_epochs: 2.0

### Training results



### Framework versions

- Transformers 4.48.1
- Pytorch 2.5.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0