File size: 12,025 Bytes
569829a 40a29aa 757943f 1d06d68 269f1b8 3dc6ae4 40a29aa a285e74 1488cf4 f1daab3 1488cf4 d6436b2 569829a dae1c45 569829a e51a42f 757943f dae1c45 e51a42f 569829a 757943f |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 |
---
language: pt
library_name: peft
datasets: Weni/zeroshot-3.0.3
pipeline_tag: zero-shot-classification
training_arguments:
output_dir: ./Zeroshot/01-12-23-NousResearch-Nous-Hermes-Llama2-13b_multilang-dataset-3.0.3-portuguese-2_epochs-10_batch_2/checkpoints/
overwrite_output_dir: false
do_train: false
do_eval: true
do_predict: false
evaluation_strategy: epoch
prediction_loss_only: false
per_device_train_batch_size: 2
per_device_eval_batch_size: 8
gradient_accumulation_steps: 2
eval_accumulation_steps: 1
eval_delay: 0
learning_rate: 0.0004
weight_decay: 0.01
adam_beta1: 0.9
adam_beta2: 0.999
adam_epsilon: 1.0e-08
max_grad_norm: 0.3
num_train_epochs: 10
max_steps: -1
lr_scheduler_type: cosine
warmup_ratio: 0.1
warmup_steps: 0
log_level: passive
log_level_replica: warning
log_on_each_node: true
logging_dir: ./Zeroshot/01-12-23-NousResearch-Nous-Hermes-Llama2-13b_multilang-dataset-3.0.3-portuguese-2_epochs-10_batch_2/checkpoints/runs/Dec01_21-53-07_fd10189bb234
logging_strategy: steps
logging_first_step: false
logging_steps: 500
logging_nan_inf_filter: true
save_strategy: epoch
save_steps: 500
save_total_limit: 5
save_safetensors: true
save_on_each_node: false
no_cuda: false
use_mps_device: false
seed: 42
jit_mode_eval: false
use_ipex: false
bf16: false
fp16: true
fp16_opt_level: O1
half_precision_backend: auto
bf16_full_eval: false
fp16_full_eval: false
local_rank: 0
tpu_metrics_debug: false
debug: []
dataloader_drop_last: false
dataloader_num_workers: 0
past_index: -1
run_name: ./Zeroshot/01-12-23-NousResearch-Nous-Hermes-Llama2-13b_multilang-dataset-3.0.3-portuguese-2_epochs-10_batch_2/checkpoints/
disable_tqdm: false
remove_unused_columns: true
load_best_model_at_end: true
metric_for_best_model: eval_loss
greater_is_better: false
ignore_data_skip: false
sharded_ddp: []
fsdp: []
fsdp_min_num_params: 0
fsdp_config:
fsdp_min_num_params: 0
xla: false
xla_fsdp_grad_ckpt: false
label_smoothing_factor: 0.0
optim: adamw_torch
adafactor: false
group_by_length: false
length_column_name: length
report_to:
- tensorboard
dataloader_pin_memory: true
skip_memory_metrics: true
use_legacy_prediction_loop: false
push_to_hub: true
hub_model_id: Weni/ZeroShot-2.2.1-Llama2-13b-Multilanguage-3.0.3
hub_strategy: all_checkpoints
hub_token: <HUB_TOKEN>
hub_private_repo: false
gradient_checkpointing: true
include_inputs_for_metrics: false
fp16_backend: auto
push_to_hub_token: <PUSH_TO_HUB_TOKEN>
mp_parameters: ''
auto_find_batch_size: false
full_determinism: false
ray_scope: last
ddp_timeout: 1800
torch_compile: false
datatset:
name: Weni/zeroshot-3.0.3
Training Procedure:
Training Hyperparameters:
output_dir: ./Zeroshot/01-12-23-NousResearch-Nous-Hermes-Llama2-13b_multilang-dataset-3.0.3-portuguese-2_epochs-10_batch_2/checkpoints/
overwrite_output_dir: false
do_train: false
do_eval: true
do_predict: false
evaluation_strategy: epoch
prediction_loss_only: false
per_device_train_batch_size: 2
per_device_eval_batch_size: 8
gradient_accumulation_steps: 2
eval_accumulation_steps: 1
eval_delay: 0
learning_rate: 0.0004
weight_decay: 0.01
adam_beta1: 0.9
adam_beta2: 0.999
adam_epsilon: 1.0e-08
max_grad_norm: 0.3
num_train_epochs: 10
max_steps: -1
lr_scheduler_type: cosine
warmup_ratio: 0.1
warmup_steps: 0
log_level: passive
log_level_replica: warning
log_on_each_node: true
logging_dir: ./Zeroshot/01-12-23-NousResearch-Nous-Hermes-Llama2-13b_multilang-dataset-3.0.3-portuguese-2_epochs-10_batch_2/checkpoints/runs/Dec01_21-53-07_fd10189bb234
logging_strategy: steps
logging_first_step: false
logging_steps: 500
logging_nan_inf_filter: true
save_strategy: epoch
save_steps: 500
save_total_limit: 5
save_safetensors: true
save_on_each_node: false
no_cuda: false
use_mps_device: false
seed: 42
jit_mode_eval: false
use_ipex: false
bf16: false
fp16: true
fp16_opt_level: O1
half_precision_backend: auto
bf16_full_eval: false
fp16_full_eval: false
local_rank: 0
tpu_metrics_debug: false
debug: []
dataloader_drop_last: false
dataloader_num_workers: 0
past_index: -1
run_name: ./Zeroshot/01-12-23-NousResearch-Nous-Hermes-Llama2-13b_multilang-dataset-3.0.3-portuguese-2_epochs-10_batch_2/checkpoints/
disable_tqdm: false
remove_unused_columns: true
load_best_model_at_end: true
metric_for_best_model: eval_loss
greater_is_better: false
ignore_data_skip: false
sharded_ddp: []
fsdp: []
fsdp_min_num_params: 0
fsdp_config:
fsdp_min_num_params: 0
xla: false
xla_fsdp_grad_ckpt: false
label_smoothing_factor: 0.0
optim: adamw_torch
adafactor: false
group_by_length: false
length_column_name: length
report_to:
- tensorboard
dataloader_pin_memory: true
skip_memory_metrics: true
use_legacy_prediction_loop: false
push_to_hub: true
hub_model_id: Weni/ZeroShot-2.2.1-Llama2-13b-Multilanguage-3.0.3
hub_strategy: all_checkpoints
hub_token: <HUB_TOKEN>
hub_private_repo: false
gradient_checkpointing: true
include_inputs_for_metrics: false
fp16_backend: auto
push_to_hub_token: <PUSH_TO_HUB_TOKEN>
mp_parameters: ''
auto_find_batch_size: false
full_determinism: false
ray_scope: last
ddp_timeout: 1800
torch_compile: false
Training data:
name: Weni/zeroshot-3.0.3
Training processing: 'dataset = dataset.shuffle(seed=55)
dataset = dataset[''train''].train_test_split(test_size=0.1)'
training_regime: "### Training Hyperparameters- output_dir: ./Zeroshot/01-12-23-NousResearch-Nous-Hermes-Llama2-13b_multilang-dataset-3.0.3-portuguese-2_epochs-10_batch_2/checkpoints/\n\
- overwrite_output_dir: False\n- do_train: False\n- do_eval: True\n- do_predict:\
\ False\n- evaluation_strategy: epoch\n- prediction_loss_only: False\n- per_device_train_batch_size:\
\ 2\n- per_device_eval_batch_size: 8\n- per_gpu_train_batch_size: None\n- per_gpu_eval_batch_size:\
\ None\n- gradient_accumulation_steps: 2\n- eval_accumulation_steps: 1\n- eval_delay:\
\ 0\n- learning_rate: 0.0004\n- weight_decay: 0.01\n- adam_beta1: 0.9\n- adam_beta2:\
\ 0.999\n- adam_epsilon: 1e-08\n- max_grad_norm: 0.3\n- num_train_epochs: 10\n-\
\ max_steps: -1\n- lr_scheduler_type: cosine\n- warmup_ratio: 0.1\n- warmup_steps:\
\ 0\n- log_level: passive\n- log_level_replica: warning\n- log_on_each_node: True\n\
- logging_dir: ./Zeroshot/01-12-23-NousResearch-Nous-Hermes-Llama2-13b_multilang-dataset-3.0.3-portuguese-2_epochs-10_batch_2/checkpoints/runs/Dec01_21-53-07_fd10189bb234\n\
- logging_strategy: steps\n- logging_first_step: False\n- logging_steps: 500\n-\
\ logging_nan_inf_filter: True\n- save_strategy: epoch\n- save_steps: 500\n- save_total_limit:\
\ 5\n- save_safetensors: True\n- save_on_each_node: False\n- no_cuda: False\n- use_mps_device:\
\ False\n- seed: 42\n- data_seed: None\n- jit_mode_eval: False\n- use_ipex: False\n\
- bf16: False\n- fp16: True\n- fp16_opt_level: O1\n- half_precision_backend: auto\n\
- bf16_full_eval: False\n- fp16_full_eval: False\n- tf32: None\n- local_rank: 0\n\
- ddp_backend: None\n- tpu_num_cores: None\n- tpu_metrics_debug: False\n- debug:\
\ []\n- dataloader_drop_last: False\n- eval_steps: None\n- dataloader_num_workers:\
\ 0\n- past_index: -1\n- run_name: ./Zeroshot/01-12-23-NousResearch-Nous-Hermes-Llama2-13b_multilang-dataset-3.0.3-portuguese-2_epochs-10_batch_2/checkpoints/\n\
- disable_tqdm: False\n- remove_unused_columns: True\n- label_names: None\n- load_best_model_at_end:\
\ True\n- metric_for_best_model: eval_loss\n- greater_is_better: False\n- ignore_data_skip:\
\ False\n- sharded_ddp: []\n- fsdp: []\n- fsdp_min_num_params: 0\n- fsdp_config:\
\ {'fsdp_min_num_params': 0, 'xla': False, 'xla_fsdp_grad_ckpt': False}\n- fsdp_transformer_layer_cls_to_wrap:\
\ None\n- deepspeed: None\n- label_smoothing_factor: 0.0\n- optim: adamw_torch\n\
- optim_args: None\n- adafactor: False\n- group_by_length: False\n- length_column_name:\
\ length\n- report_to: ['tensorboard']\n- ddp_find_unused_parameters: None\n- ddp_bucket_cap_mb:\
\ None\n- ddp_broadcast_buffers: None\n- dataloader_pin_memory: True\n- skip_memory_metrics:\
\ True\n- use_legacy_prediction_loop: False\n- push_to_hub: True\n- resume_from_checkpoint:\
\ None\n- hub_model_id: Weni/ZeroShot-2.2.1-Llama2-13b-Multilanguage-3.0.3\n- hub_strategy:\
\ all_checkpoints\n- hub_token: <HUB_TOKEN>\n- hub_private_repo: False\n- gradient_checkpointing:\
\ True\n- include_inputs_for_metrics: False\n- fp16_backend: auto\n- push_to_hub_model_id:\
\ None\n- push_to_hub_organization: None\n- push_to_hub_token: <PUSH_TO_HUB_TOKEN>\n\
- mp_parameters: \n- auto_find_batch_size: False\n- full_determinism: False\n- torchdynamo:\
\ None\n- ray_scope: last\n- ddp_timeout: 1800\n- torch_compile: False\n- torch_compile_backend:\
\ None\n- torch_compile_mode: None\n- xpu_backend: None"
training_data:
name: Weni/zeroshot-3.0.3
'preprocessing ': 'dataset = dataset.shuffle(seed=55)
dataset = dataset[''train''].train_test_split(test_size=0.1)'
preprocessing: 'dataset = dataset.shuffle(seed=55)
dataset = dataset[''train''].train_test_split(test_size=0.1)'
base_model: NousResearch/Nous-Hermes-Llama2-13b
---
## Training Hyperparameters
- evaluation_strategy: epoch
- prediction_loss_only: False
- per_device_train_batch_size: 2
- per_device_eval_batch_size: 8
- per_gpu_train_batch_size: None
- per_gpu_eval_batch_size: None
- gradient_accumulation_steps: 2
- eval_accumulation_steps: 1
- eval_delay: 0
- learning_rate: 0.0004
- weight_decay: 0.01
- adam_beta1: 0.9
- adam_beta2: 0.999
- adam_epsilon: 1e-08
- max_grad_norm: 0.3
- num_train_epochs: 10
- max_steps: -1
- lr_scheduler_type: cosine
- warmup_ratio: 0.1
- warmup_steps: 0
- log_level: passive
- log_level_replica: warning
- log_on_each_node: True
- logging_strategy: steps
- logging_first_step: False
- logging_steps: 500
- logging_nan_inf_filter: True
- save_strategy: epoch
- save_steps: 500
- save_total_limit: 5
- save_safetensors: True
- save_on_each_node: False
- no_cuda: False
- use_mps_device: False
- seed: 42
- data_seed: None
- jit_mode_eval: False
- use_ipex: False
- bf16: False
- fp16: True
- fp16_opt_level: O1
- half_precision_backend: auto
- bf16_full_eval: False
- fp16_full_eval: False
- tf32: None
- local_rank: 0
- ddp_backend: None
- tpu_num_cores: None
- tpu_metrics_debug: False
- debug: []
- dataloader_drop_last: False
- eval_steps: None
- dataloader_num_workers: 0
- past_index: -1
- remove_unused_columns: True
- label_names: None
- load_best_model_at_end: True
- metric_for_best_model: eval_loss
- greater_is_better: False
- ignore_data_skip: False
- sharded_ddp: []
- fsdp: []
- fsdp_min_num_params: 0
- fsdp_config: {'fsdp_min_num_params': 0, 'xla': False, 'xla_fsdp_grad_ckpt': False}
- fsdp_transformer_layer_cls_to_wrap: None
- deepspeed: None
- label_smoothing_factor: 0.0
- optim: adamw_torch
- optim_args: None
- adafactor: False
- group_by_length: False
- ddp_find_unused_parameters: None
- ddp_bucket_cap_mb: None
- ddp_broadcast_buffers: None
- dataloader_pin_memory: True
- skip_memory_metrics: True
- use_legacy_prediction_loop: False
- push_to_hub: True
- resume_from_checkpoint: None
- hub_strategy: all_checkpoints
- gradient_checkpointing: True
## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: bfloat16
-
### Framework versions
- PEFT 0.4.0
|