---
base_model: BeaverAI/Theia-21B-v2a
tags:
- axolotl
- generated_from_trainer
model-index:
- name: Theia-21B-v2b-WS
  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: BeaverAI/Theia-21B-v2a
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer

load_in_8bit: false
load_in_4bit: false
strict: false
sequence_len: 16384
bf16: auto
fp16:
tf32: false
flash_attention: true
special_tokens:
    pad_token: "<pad>"
tokens:
    - "<|im_start|>"
    - "<|im_end|>"

# PLAN
# instruct = mistral
# siayn = alpaca
# RP = chatml

# Data
datasets:
  - path: BeaverAI/saosauce-v2-creative-only
    type: sharegpt
    conversation: chatml
warmup_steps: 150

save_safetensors: true

mlflow_tracking_uri: http://127.0.0.1:7860
mlflow_experiment_name: Default
# WandB
#wandb_project: theia
#wandb_entity:

# Iterations
num_epochs: 2

# Output
output_dir: ./Theia-21B-v2b-Workspace
hub_model_id: BeaverAI/Theia-21B-v2b-WS
hub_strategy: "all_checkpoints"

# Sampling
sample_packing: true
pad_to_sequence_len: true

# Batching
gradient_accumulation_steps: 1
micro_batch_size: 1
gradient_checkpointing: true
gradient_checkpointing_kwargs:
   use_reentrant: true

# Evaluation
val_set_size: 0.025
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 256
eval_sample_packing: false
eval_batch_size: 1

# Optimizer
optimizer: paged_adamw_8bit # adamw_8bit
lr_scheduler: cosine
learning_rate: 0.0000025
lr_scheduler: cosine_with_min_lr
lr_scheduler_kwargs:
    min_lr: 0.00000025
weight_decay: 0.01
max_grad_norm: 10.0

# Misc
train_on_inputs: false
group_by_length: false
early_stopping_patience:
local_rank:
logging_steps: 1
xformers_attention:
debug:
deepspeed: deepspeed_configs/zero3_bf16.json # previously blank
fsdp:
fsdp_config:

# Checkpoints
resume_from_checkpoint:
saves_per_epoch: 1

```

</details><br>

# Theia-21B-v2b-WS

This model is a fine-tuned version of [BeaverAI/Theia-21B-v2a](https://huggingface.co/BeaverAI/Theia-21B-v2a) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0491

## 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: 2.5e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 8
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_min_lr
- lr_scheduler_warmup_steps: 150
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.5956        | 0.0030 | 1    | 1.5014          |
| 1.2309        | 0.2508 | 83   | 1.2064          |
| 1.1063        | 0.5015 | 166  | 1.1376          |
| 1.1885        | 0.7523 | 249  | 1.1021          |
| 1.1518        | 1.0030 | 332  | 1.0772          |
| 0.9328        | 1.2356 | 415  | 1.0693          |
| 0.9149        | 1.4864 | 498  | 1.0569          |
| 0.9377        | 1.7372 | 581  | 1.0491          |


### Framework versions

- Transformers 4.44.0.dev0
- Pytorch 2.2.2
- Datasets 2.19.1
- Tokenizers 0.19.1