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gemma2-9b-longragft-reasoning

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gemma2-9b-longragft-reasoning
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---
license: gemma
base_model: google/gemma-2-9b
tags:
- generated_from_trainer
model-index:
- name: home/peterjin/axolotl_output/nq_mmlu_wow_fever_50000_rationale-e5-gemma2-9b-epoch4-lr1e-6-new
  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: `0.4.1`
```yaml
base_model: google/gemma-2-9b
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer

load_in_8bit: false
load_in_4bit: false
strict: false

chat_template: gemma
datasets:
  - path: /home/peterjin/mnt/axolotl_train/nq_train/e5/gemma2-9B-chat/train_rationale_12500.jsonl
    ds_type: json
    type: chat_template
    chat_template: gemma
    field_messages: messages
    message_field_role: role
    message_field_content: content
    roles:
      user:
        - user
      assistant:
        - assistant
  - path: /home/peterjin/mnt/axolotl_train/mmlu_train/e5/gemma2-9B-chat/train_rationale_12500.jsonl
    ds_type: json
    type: chat_template
    chat_template: gemma
    field_messages: messages
    message_field_role: role
    message_field_content: content
    roles:
      user:
        - user
      assistant:
        - assistant
  - path: /home/peterjin/mnt/axolotl_train/wow_train/e5/gemma2-9B-chat/train_rationale_12500.jsonl
    ds_type: json
    type: chat_template
    chat_template: gemma
    field_messages: messages
    message_field_role: role
    message_field_content: content
    roles:
      user:
        - user
      assistant:
        - assistant
  - path: /home/peterjin/mnt/axolotl_train/fever_train/e5/gemma2-9B-chat/train_rationale_12500.jsonl
    ds_type: json
    type: chat_template
    chat_template: gemma
    field_messages: messages
    message_field_role: role
    message_field_content: content
    roles:
      user:
        - user
      assistant:
        - assistant

dataset_prepared_path: last_run_prepared
val_set_size: 0.05
output_dir: /home/peterjin/axolotl_output/nq_mmlu_wow_fever_50000_rationale-e5-gemma2-9b-epoch4-lr1e-6-new

sequence_len: 8192 # 24576 can be supported by 8 h100s
sample_packing: false
eval_sample_packing: false
pad_to_sequence_len: true

wandb_project: RAG-tune-llm
wandb_entity: uiuc-dmg
wandb_watch:
wandb_name: nq_mmlu_wow_fever_50000_rationale-e5-gemma2-9b-epoch4-lr1e-6-new
wandb_log_model:

gradient_accumulation_steps: 8
micro_batch_size: 1
num_epochs: 4
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 1e-6

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

gradient_checkpointing: true
gradient_checkpointing_kwargs:
  use_reentrant: false
early_stopping_patience:
resume_from_checkpoint:
logging_steps: 1
xformers_attention:
flash_attention: false
sdp_attention: false
s2_attention: false
eager_attention: true

warmup_ratio: 0.05
evals_per_epoch: 1
eval_table_size:
saves_per_epoch: 1
save_total_limit: 10
debug:
deepspeed:
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens:

```

</details><br>

# home/peterjin/axolotl_output/nq_mmlu_wow_fever_50000_rationale-e5-gemma2-9b-epoch4-lr1e-6-new

This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan

## 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-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 148
- num_epochs: 4

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.3349        | 0.0013 | 1    | nan             |
| 0.623         | 0.9990 | 741  | nan             |
| 0.5101        | 1.9980 | 1482 | nan             |
| 0.3635        | 2.9970 | 2223 | nan             |
| 0.2928        | 3.9960 | 2964 | nan             |


### Framework versions

- Transformers 4.44.0.dev0
- Pytorch 2.3.1
- Datasets 2.19.1
- Tokenizers 0.19.1