Hugging Face's logo

ChallengerSpaceShuttle
/
continued-trained-gemma2-2b

Text Generation
PyTorch
Zulu
gemma2
Model card Files
xet
Community
continued-trained-gemma2-2b
File size: 2,469 Bytes 
4ddd599
 
 
 
 
 
 
 
 
 
8039b09
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4ddd599
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
 
---
license: gemma
datasets:
- ChallengerSpaceShuttle/zulu-pretraining-dataset
language:
- zu
base_model: google/gemma-2-2b
pipeline_tag: text-generation
---

# BafoGPT-3B

This is gemma2-2b-base model continued-pretraining on the [ChallengerSpaceShuttle/zulu-pretraining-dataset](https://huggingface.co/datasets/ChallengerSpaceShuttle/zulu-pretraining-dataset) dataset. 

This is the first iteration, on building IsiZulu models that can attain performance comparable to models that typically require millions of dollars to train from scratch.

## 🔍 Applications

This is the base model and has a context length of 8k. It can generate coherent Zulu text, one can finetune it based on instruction datasets.

## ⚡ Quantized models

## 🏆 Evaluation

## 🧩 Configuration

The code used to train the model can be found here: [BafoGPT](https://github.com/Motsepe-Jr/bafoGPT/tree/main) with the following training configuration.

```yaml
model_name: google/gemma-2-2b
out_dir: pretrained_model/models
precision: bf16-mixed
initial_checkpoint_dir: google/gemma-2-2b
resume: false
data:
  class_path: litgpt.data.LitData
  init_args:
    data_path: data
    seed: 42
    num_workers: 8
train:
  save_interval: 1000
  log_interval: 1
  global_batch_size: 4
  micro_batch_size: 1
  lr_warmup_steps: 2000
  max_tokens: 156800708
  max_seq_length: 2048
  tie_embeddings: false
  max_norm: 1.0
  min_lr: 4.0e-05
eval:
  interval: 1000
  max_iters: 100
  initial_validation: false
  final_validation: true
optimizer: AdamW
devices: auto
num_nodes: 1
tokenizer_dir: google/gemma-2-2b
logger_name: tensorboard
seed: 42
```

Architecture Config

```json
{
  "architectures": [
    "Gemma2ForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "attn_logit_softcapping": 50.0,
  "bos_token_id": 2,
  "cache_implementation": "hybrid",
  "eos_token_id": 1,
  "final_logit_softcapping": 30.0,
  "head_dim": 256,
  "hidden_act": "gelu_pytorch_tanh",
  "hidden_activation": "gelu_pytorch_tanh",
  "hidden_size": 2304,
  "initializer_range": 0.02,
  "intermediate_size": 9216,
  "max_position_embeddings": 8192,
  "model_type": "gemma2",
  "num_attention_heads": 8,
  "num_hidden_layers": 26,
  "num_key_value_heads": 4,
  "pad_token_id": 0,
  "query_pre_attn_scalar": 256,
  "rms_norm_eps": 1e-06,
  "rope_theta": 10000.0,
  "sliding_window": 4096,
  "torch_dtype": "float32",
  "transformers_version": "4.42.4",
  "use_cache": true,
  "vocab_size": 288256
}
```