nymtheescobar
commited on
delete readme
Browse files
README.md
CHANGED
@@ -1,164 +0,0 @@
|
|
1 |
-
---
|
2 |
-
base_model: meta-llama/Llama-3.2-3B
|
3 |
-
library_name: peft
|
4 |
-
license: llama3.2
|
5 |
-
tags:
|
6 |
-
- axolotl
|
7 |
-
- generated_from_trainer
|
8 |
-
model-index:
|
9 |
-
- name: BanglaLLama-3.2-11b-3b-unolp-culturax-base-v0.0.2
|
10 |
-
results: []
|
11 |
-
---
|
12 |
-
|
13 |
-
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
14 |
-
should probably proofread and complete it, then remove this comment. -->
|
15 |
-
|
16 |
-
[<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)
|
17 |
-
<details><summary>See axolotl config</summary>
|
18 |
-
|
19 |
-
axolotl version: `0.4.1`
|
20 |
-
```yaml
|
21 |
-
base_model: meta-llama/Llama-3.2-3B
|
22 |
-
model_type: LlamaForCausalLM
|
23 |
-
#processor_type: AutoProcessor
|
24 |
-
tokenizer_type: AutoTokenizer
|
25 |
-
|
26 |
-
#skip_prepare_dataset: true
|
27 |
-
#remove_unused_columns: false
|
28 |
-
#sample_packing: false
|
29 |
-
|
30 |
-
load_in_8bit: false
|
31 |
-
load_in_4bit: false
|
32 |
-
strict: false
|
33 |
-
|
34 |
-
# datasets:
|
35 |
-
# #- path: mhenrichsen/alpaca_2k_test
|
36 |
-
# - path: yahma/alpaca-cleaned
|
37 |
-
# type: alpaca
|
38 |
-
max_steps: 10000
|
39 |
-
#chat_template: llama3_2_vision
|
40 |
-
pretraining_dataset:
|
41 |
-
- path: "uonlp/CulturaX"
|
42 |
-
name: bn
|
43 |
-
type: pretrain
|
44 |
-
dataset_prepared_path: /workspace/datasets/last_run_prepared_pretrain_llama3.2-3b_uonlp_CulturaX_bn_9Oct2024_1_30_PM
|
45 |
-
val_set_size: 0.00
|
46 |
-
output_dir: /workspace/outputs/llama-3.2-11b-pretrain-uonlp-culturax-6Oct2024_10_20_AM
|
47 |
-
|
48 |
-
# push to hf hub
|
49 |
-
hub_model_id: BanglaLLM/BanglaLLama-3.2-11b-3b-unolp-culturax-base-v0.0.2
|
50 |
-
hub_strategy: end
|
51 |
-
|
52 |
-
#sequence_len: 4096
|
53 |
-
sequence_len: 8192
|
54 |
-
pad_to_sequence_len: false
|
55 |
-
|
56 |
-
# all below changed above
|
57 |
-
sample_packing: true
|
58 |
-
eval_sample_packing: false
|
59 |
-
pad_to_sequence_len: true
|
60 |
-
remove_unused_columns: true
|
61 |
-
|
62 |
-
adapter: lora
|
63 |
-
lora_model_dir:
|
64 |
-
lora_r: 32
|
65 |
-
lora_alpha: 16
|
66 |
-
lora_dropout: 0.05
|
67 |
-
#lora_target_modules: 'language_model.model.layers.[\d]+.(mlp|cross_attn|self_attn).(up|down|gate|q|k|v|o)_proj'
|
68 |
-
lora_target_linear: true
|
69 |
-
lora_fan_in_fan_out:
|
70 |
-
lora_modules_to_save:
|
71 |
-
- embed_tokens
|
72 |
-
- lm_head
|
73 |
-
|
74 |
-
wandb_project: banglallm-training
|
75 |
-
wandb_entity: banglallm
|
76 |
-
wandb_watch:
|
77 |
-
wandb_name: balglallm-training-llama3.2-3b-pretraining-9Oct2024_1_30_PM
|
78 |
-
wandb_run_id: balglallm-training-llama3.2-3b-pretraining-9Oct2024_1_30_PM-id-1
|
79 |
-
wandb_log_model: checkpoint
|
80 |
-
|
81 |
-
gradient_accumulation_steps: 4 #8
|
82 |
-
micro_batch_size: 1
|
83 |
-
num_epochs: 1
|
84 |
-
optimizer: adamw_bnb_8bit
|
85 |
-
lr_scheduler: cosine
|
86 |
-
learning_rate: 0.0002
|
87 |
-
|
88 |
-
train_on_inputs: false
|
89 |
-
group_by_length: false
|
90 |
-
bf16: auto
|
91 |
-
fp16:
|
92 |
-
tf32: false
|
93 |
-
|
94 |
-
gradient_checkpointing: true
|
95 |
-
early_stopping_patience:
|
96 |
-
resume_from_checkpoint:
|
97 |
-
local_rank:
|
98 |
-
logging_steps: 1
|
99 |
-
xformers_attention:
|
100 |
-
flash_attention: true
|
101 |
-
s2_attention:
|
102 |
-
|
103 |
-
#warmup_steps: 10
|
104 |
-
warmup_ratio: 0.1
|
105 |
-
evals_per_epoch: 4
|
106 |
-
eval_table_size:
|
107 |
-
#eval_max_new_tokens: 128
|
108 |
-
saves_per_epoch: 1
|
109 |
-
debug:
|
110 |
-
deepspeed:
|
111 |
-
weight_decay: 0.0
|
112 |
-
fsdp:
|
113 |
-
fsdp_config:
|
114 |
-
special_tokens:
|
115 |
-
pad_token: <|end_of_text|>
|
116 |
-
|
117 |
-
```
|
118 |
-
|
119 |
-
</details><br>
|
120 |
-
|
121 |
-
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/banglallm/banglallm-training/runs/balglallm-training-llama3.2-3b-pretraining-9Oct2024_1_30_PM-id-1)
|
122 |
-
# BanglaLLama-3.2-11b-3b-unolp-culturax-base-v0.0.2
|
123 |
-
|
124 |
-
This model is a fine-tuned version of [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) on an unknown dataset.
|
125 |
-
|
126 |
-
## Model description
|
127 |
-
|
128 |
-
More information needed
|
129 |
-
|
130 |
-
## Intended uses & limitations
|
131 |
-
|
132 |
-
More information needed
|
133 |
-
|
134 |
-
## Training and evaluation data
|
135 |
-
|
136 |
-
More information needed
|
137 |
-
|
138 |
-
## Training procedure
|
139 |
-
|
140 |
-
### Training hyperparameters
|
141 |
-
|
142 |
-
The following hyperparameters were used during training:
|
143 |
-
- learning_rate: 0.0002
|
144 |
-
- train_batch_size: 1
|
145 |
-
- eval_batch_size: 1
|
146 |
-
- seed: 42
|
147 |
-
- gradient_accumulation_steps: 4
|
148 |
-
- total_train_batch_size: 4
|
149 |
-
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
150 |
-
- lr_scheduler_type: cosine
|
151 |
-
- lr_scheduler_warmup_steps: 1000
|
152 |
-
- training_steps: 10000
|
153 |
-
|
154 |
-
### Training results
|
155 |
-
|
156 |
-
|
157 |
-
|
158 |
-
### Framework versions
|
159 |
-
|
160 |
-
- PEFT 0.13.0
|
161 |
-
- Transformers 4.45.1
|
162 |
-
- Pytorch 2.3.1+cu121
|
163 |
-
- Datasets 2.21.0
|
164 |
-
- Tokenizers 0.20.0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|