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jeiku / instructered4B
Model's Last Updated: October 09 2024
text-generation
Introduction of instructered4B
Model Details of instructered4B
See axolotl config
axolotl version:
0.4.1
base_model: jeiku/completion4B
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
load_in_8bit: false
load_in_4bit: false
strict: false
hub_model_id: jeiku/instructered4B
hub_strategy: "all_checkpoints"
push_dataset_to_hub:
hf_use_auth_token: true
datasets:
- path: FourOhFour/Instruct_Phase
type: sharegpt
conversation: chatml
chat_template: chatml
shuffle_merged_datasets: true
val_set_size: 0.0025
output_dir: ./outputs/out
adapter:
lora_r:
lora_alpha:
lora_dropout:
lora_target_linear:
sequence_len: 8192
sample_packing: true
eval_sample_packing: false
pad_to_sequence_len: true
plugins:
- axolotl.integrations.liger.LigerPlugin
liger_rope: true
liger_rms_norm: true
liger_swiglu: true
liger_fused_linear_cross_entropy: true
wandb_project: EXP4B
wandb_entity:
wandb_watch:
wandb_name: EXP4B
wandb_log_model:
gradient_accumulation_steps: 12
micro_batch_size: 3
num_epochs: 2
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.00001
weight_decay: 0.05
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_ratio: 0.1
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 2
debug:
deepspeed: deepspeed_configs/zero3_bf16.json
fsdp:
fsdp_config:
special_tokens:
pad_token: <|finetune_right_pad_id|>
instructered4B
This model is a fine-tuned version of jeiku/completion4B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3713
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-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 12
- total_train_batch_size: 72
- total_eval_batch_size: 6
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 68
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.336 | 0.0029 | 1 | 1.7114 |
| 0.9631 | 0.2516 | 86 | 1.4098 |
| 0.9347 | 0.5032 | 172 | 1.3828 |
| 0.9142 | 0.7548 | 258 | 1.3693 |
| 0.7967 | 1.0037 | 344 | 1.3659 |
| 0.7912 | 1.2551 | 430 | 1.3728 |
| 0.7957 | 1.5065 | 516 | 1.3730 |
| 0.7951 | 1.7579 | 602 | 1.3713 |
Framework versions
- Transformers 4.46.0.dev0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.20.0
Runs of jeiku instructered4B on huggingface.co
12
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
11
30-day runs
More Information About instructered4B huggingface.co Model
Url of instructered4B
instructered4B huggingface.co Url
Provider of instructered4B huggingface.co
Other API from jeiku
Total runs:
131
Run Growth:
100
Growth Rate:
76.92%
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54
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96.43%
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-32.35%
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11
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40.74%
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28
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-146.43%
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-3
Growth Rate:
-13.64%
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21
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10
Growth Rate:
50.00%
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21
Run Growth:
13
Growth Rate:
61.90%
Total runs:
17
Run Growth:
-54
Growth Rate:
-337.50%
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16
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-33
Growth Rate:
-206.25%
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15
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11
Growth Rate:
78.57%
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14
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14
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100.00%
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14
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4
Growth Rate:
28.57%
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13
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11
Growth Rate:
84.62%
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12
Run Growth:
8
Growth Rate:
72.73%
Total runs:
12
Run Growth:
4
Growth Rate:
57.14%
Total runs:
11
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-100.00%
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Growth Rate:
-120.00%
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10
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Growth Rate:
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10
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Growth Rate:
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10
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Growth Rate:
-260.00%
Total runs:
10
Run Growth:
7
Growth Rate:
70.00%
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9
Run Growth:
1
Growth Rate:
11.11%
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Growth Rate:
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8
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6
Growth Rate:
85.71%
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100.00%
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7
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6
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100.00%
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Growth Rate:
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7
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100.00%
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50.00%
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Growth Rate:
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