Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +163 -0
- added_tokens.json +3 -0
- chat_template.jinja +4 -0
- config.json +111 -0
- debug.log +3 -0
- generation_config.json +13 -0
- model-00001-of-00006.safetensors +3 -0
- model-00002-of-00006.safetensors +3 -0
- model-00003-of-00006.safetensors +3 -0
- model-00004-of-00006.safetensors +3 -0
- model-00005-of-00006.safetensors +3 -0
- model-00006-of-00006.safetensors +3 -0
- model.safetensors.index.json +0 -0
- preprocessor_config.json +29 -0
- processor_config.json +4 -0
- special_tokens_map.json +33 -0
- tokenizer.json +3 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
- training_args.bin +3 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -0,0 +1,163 @@
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| 1 |
+
---
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| 2 |
+
library_name: transformers
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
datasets:
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| 6 |
+
- allura-forge/expr-rp-sft-mix
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| 7 |
+
model-index:
|
| 8 |
+
- name: output
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
[<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)
|
| 16 |
+
<details><summary>See axolotl config</summary>
|
| 17 |
+
|
| 18 |
+
axolotl version: `0.13.0.dev0`
|
| 19 |
+
```yaml
|
| 20 |
+
## model
|
| 21 |
+
base_model: ./model
|
| 22 |
+
|
| 23 |
+
## qlora COPE!!!
|
| 24 |
+
load_in_8bit: false
|
| 25 |
+
load_in_4bit: false #false
|
| 26 |
+
strict: false
|
| 27 |
+
|
| 28 |
+
# === Data Configuration ===
|
| 29 |
+
datasets:
|
| 30 |
+
- path: allura-forge/expr-rp-sft-mix
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| 31 |
+
type: chat_template
|
| 32 |
+
split: train
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| 33 |
+
field_messages: conversations
|
| 34 |
+
message_field_role: from
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| 35 |
+
message_field_content: value
|
| 36 |
+
|
| 37 |
+
chat_template: jinja
|
| 38 |
+
chat_template_jinja: "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = 'user' %}{% endif %}{{ '<start_of_turn>' + role + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}"
|
| 39 |
+
|
| 40 |
+
shuffle_merged_datasets: true
|
| 41 |
+
dataset_prepared_path: dataset_prepareds
|
| 42 |
+
val_set_size: 0.0
|
| 43 |
+
output_dir: ./output
|
| 44 |
+
|
| 45 |
+
max_grad_norm: 0.1
|
| 46 |
+
|
| 47 |
+
## Liger + CCE
|
| 48 |
+
plugins:
|
| 49 |
+
- axolotl.integrations.liger.LigerPlugin
|
| 50 |
+
- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
|
| 51 |
+
liger_rope: true
|
| 52 |
+
liger_rms_norm: true
|
| 53 |
+
liger_layer_norm: true
|
| 54 |
+
liger_glu_activation: true
|
| 55 |
+
liger_fused_linear_cross_entropy: false
|
| 56 |
+
cut_cross_entropy: true
|
| 57 |
+
|
| 58 |
+
## CTX settings
|
| 59 |
+
sequence_len: 16384
|
| 60 |
+
sample_packing: true
|
| 61 |
+
eval_sample_packing: false
|
| 62 |
+
pad_to_sequence_len: true
|
| 63 |
+
|
| 64 |
+
## WandB
|
| 65 |
+
wandb_project: g12b-slopification
|
| 66 |
+
wandb_entity:
|
| 67 |
+
wandb_watch:
|
| 68 |
+
wandb_name:
|
| 69 |
+
wandb_log_model:
|
| 70 |
+
|
| 71 |
+
## hoe params
|
| 72 |
+
gradient_accumulation_steps: 2 # ???
|
| 73 |
+
micro_batch_size: 2
|
| 74 |
+
num_epochs: 2
|
| 75 |
+
lr_scheduler: rex
|
| 76 |
+
learning_rate: 2e-6
|
| 77 |
+
optimizer: adamw_torch_8bit # Options: "paged_ademamix_8bit", "adamw_bnb_8bit", "paged_adamw_8bit"
|
| 78 |
+
|
| 79 |
+
train_on_inputs: false
|
| 80 |
+
group_by_length: false
|
| 81 |
+
bf16: auto
|
| 82 |
+
fp16:
|
| 83 |
+
tf32: false
|
| 84 |
+
|
| 85 |
+
gradient_checkpointing: offload
|
| 86 |
+
early_stopping_patience:
|
| 87 |
+
resume_from_checkpoint:
|
| 88 |
+
local_rank:
|
| 89 |
+
logging_steps: 1
|
| 90 |
+
xformers_attention:
|
| 91 |
+
flash_attention: true
|
| 92 |
+
s2_attention:
|
| 93 |
+
special_tokens:
|
| 94 |
+
eos_token: "<end_of_turn>"
|
| 95 |
+
|
| 96 |
+
warmup_steps: 25
|
| 97 |
+
saves_per_epoch: 4
|
| 98 |
+
debug:
|
| 99 |
+
weight_decay: 0.0
|
| 100 |
+
fsdp:
|
| 101 |
+
- full_shard
|
| 102 |
+
- auto_wrap
|
| 103 |
+
fsdp_config:
|
| 104 |
+
fsdp_activation_checkpointing: true
|
| 105 |
+
fsdp_limit_all_gathers: true
|
| 106 |
+
fsdp_use_orig_params: false
|
| 107 |
+
fsdp_cpu_ram_efficient_loading: true
|
| 108 |
+
fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
|
| 109 |
+
fsdp_transformer_layer_cls_to_wrap: Gemma3DecoderLayer
|
| 110 |
+
fsdp_state_dict_type: FULL_STATE_DICT
|
| 111 |
+
fsdp_reshard_after_forward: true
|
| 112 |
+
fsdp_version: 2
|
| 113 |
+
|
| 114 |
+
|
| 115 |
+
```
|
| 116 |
+
|
| 117 |
+
</details><br>
|
| 118 |
+
|
| 119 |
+
# output
|
| 120 |
+
|
| 121 |
+
This model was trained from scratch on the allura-forge/expr-rp-sft-mix dataset.
|
| 122 |
+
|
| 123 |
+
## Model description
|
| 124 |
+
|
| 125 |
+
More information needed
|
| 126 |
+
|
| 127 |
+
## Intended uses & limitations
|
| 128 |
+
|
| 129 |
+
More information needed
|
| 130 |
+
|
| 131 |
+
## Training and evaluation data
|
| 132 |
+
|
| 133 |
+
More information needed
|
| 134 |
+
|
| 135 |
+
## Training procedure
|
| 136 |
+
|
| 137 |
+
### Training hyperparameters
|
| 138 |
+
|
| 139 |
+
The following hyperparameters were used during training:
|
| 140 |
+
- learning_rate: 2e-06
|
| 141 |
+
- train_batch_size: 2
|
| 142 |
+
- eval_batch_size: 2
|
| 143 |
+
- seed: 42
|
| 144 |
+
- distributed_type: multi-GPU
|
| 145 |
+
- num_devices: 8
|
| 146 |
+
- gradient_accumulation_steps: 2
|
| 147 |
+
- total_train_batch_size: 32
|
| 148 |
+
- total_eval_batch_size: 16
|
| 149 |
+
- optimizer: Use OptimizerNames.ADAMW_TORCH_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 150 |
+
- lr_scheduler_type: cosine
|
| 151 |
+
- lr_scheduler_warmup_steps: 25
|
| 152 |
+
- training_steps: 538
|
| 153 |
+
|
| 154 |
+
### Training results
|
| 155 |
+
|
| 156 |
+
|
| 157 |
+
|
| 158 |
+
### Framework versions
|
| 159 |
+
|
| 160 |
+
- Transformers 4.57.1
|
| 161 |
+
- Pytorch 2.8.0+cu129
|
| 162 |
+
- Datasets 4.4.1
|
| 163 |
+
- Tokenizers 0.22.1
|
added_tokens.json
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| 1 |
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{
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| 2 |
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"<image_soft_token>": 262144
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| 3 |
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}
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chat_template.jinja
ADDED
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{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = 'user' %}{% endif %}{{ '<start_of_turn>' + role + '
|
| 2 |
+
' + message['content'] | trim + '<end_of_turn>
|
| 3 |
+
' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model
|
| 4 |
+
'}}{% endif %}
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config.json
ADDED
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@@ -0,0 +1,111 @@
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{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Gemma3ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"boi_token_index": 255999,
|
| 6 |
+
"bos_token_id": 2,
|
| 7 |
+
"dtype": "bfloat16",
|
| 8 |
+
"eoi_token_index": 256000,
|
| 9 |
+
"eos_token_id": 106,
|
| 10 |
+
"image_token_index": 262144,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"mm_tokens_per_image": 256,
|
| 13 |
+
"model_type": "gemma3",
|
| 14 |
+
"pad_token_id": 0,
|
| 15 |
+
"text_config": {
|
| 16 |
+
"_sliding_window_pattern": 6,
|
| 17 |
+
"attention_bias": false,
|
| 18 |
+
"attention_dropout": 0.0,
|
| 19 |
+
"attn_logit_softcapping": null,
|
| 20 |
+
"dtype": "bfloat16",
|
| 21 |
+
"final_logit_softcapping": null,
|
| 22 |
+
"head_dim": 256,
|
| 23 |
+
"hidden_activation": "gelu_pytorch_tanh",
|
| 24 |
+
"hidden_size": 3840,
|
| 25 |
+
"initializer_range": 0.02,
|
| 26 |
+
"intermediate_size": 15360,
|
| 27 |
+
"layer_types": [
|
| 28 |
+
"sliding_attention",
|
| 29 |
+
"sliding_attention",
|
| 30 |
+
"sliding_attention",
|
| 31 |
+
"sliding_attention",
|
| 32 |
+
"sliding_attention",
|
| 33 |
+
"full_attention",
|
| 34 |
+
"sliding_attention",
|
| 35 |
+
"sliding_attention",
|
| 36 |
+
"sliding_attention",
|
| 37 |
+
"sliding_attention",
|
| 38 |
+
"sliding_attention",
|
| 39 |
+
"full_attention",
|
| 40 |
+
"sliding_attention",
|
| 41 |
+
"sliding_attention",
|
| 42 |
+
"sliding_attention",
|
| 43 |
+
"sliding_attention",
|
| 44 |
+
"sliding_attention",
|
| 45 |
+
"full_attention",
|
| 46 |
+
"sliding_attention",
|
| 47 |
+
"sliding_attention",
|
| 48 |
+
"sliding_attention",
|
| 49 |
+
"sliding_attention",
|
| 50 |
+
"sliding_attention",
|
| 51 |
+
"full_attention",
|
| 52 |
+
"sliding_attention",
|
| 53 |
+
"sliding_attention",
|
| 54 |
+
"sliding_attention",
|
| 55 |
+
"sliding_attention",
|
| 56 |
+
"sliding_attention",
|
| 57 |
+
"full_attention",
|
| 58 |
+
"sliding_attention",
|
| 59 |
+
"sliding_attention",
|
| 60 |
+
"sliding_attention",
|
| 61 |
+
"sliding_attention",
|
| 62 |
+
"sliding_attention",
|
| 63 |
+
"full_attention",
|
| 64 |
+
"sliding_attention",
|
| 65 |
+
"sliding_attention",
|
| 66 |
+
"sliding_attention",
|
| 67 |
+
"sliding_attention",
|
| 68 |
+
"sliding_attention",
|
| 69 |
+
"full_attention",
|
| 70 |
+
"sliding_attention",
|
| 71 |
+
"sliding_attention",
|
| 72 |
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preprocessor_config.json
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processor_config.json
ADDED
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special_tokens_map.json
ADDED
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| 17 |
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| 27 |
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| 30 |
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| 31 |
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|
| 32 |
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}
|
| 33 |
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tokenizer.json
ADDED
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