Training in progress, epoch 1
Browse files- added_tokens.json +12 -0
- config.json +53 -0
- egy_training_log.txt +286 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +81 -0
- tokenizer.json +0 -0
- tokenizer_config.json +140 -0
- training_args.bin +3 -0
- vocab.json +0 -0
added_tokens.json
ADDED
@@ -0,0 +1,12 @@
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{
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"<Da>": 64007,
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"<Eg>": 64006,
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"<Gu>": 64009,
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"<Ir>": 64005,
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"<Le>": 64004,
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"<Ye>": 64008,
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"<sep>": 64003,
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"<|bos|>": 64000,
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"<|unk|>": 64001,
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"[PAD]": 64002
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}
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config.json
ADDED
@@ -0,0 +1,53 @@
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{
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"_name_or_path": "nlparabic/clss_all_aragpt2-large",
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"activation_function": "gelu_new",
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"architectures": [
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"AraGPT2LMHeadModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"attn_pdrop": 0.1,
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"auto_map": {
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"AutoConfig": "aubmindlab/aragpt2-large--configuration_aragpt2.AraGPT2Config",
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"AutoModel": "aubmindlab/aragpt2-large--modeling_aragpt2.AraGPT2Model",
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"AutoModelForCausalLM": "aubmindlab/aragpt2-large--modeling_aragpt2.AraGPT2LMHeadModel"
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},
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"bos_token_id": 0,
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"embd_pdrop": 0.1,
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"eos_token_id": 0,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"initializer_range": 0.014142135623731,
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"intermediate_size": 5120,
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"layer_norm_epsilon": 1e-05,
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"model_type": "aragpt2",
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"n_ctx": 1024,
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"n_embd": 1280,
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"n_head": 20,
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"n_inner": null,
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"n_layer": 36,
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"n_positions": 1024,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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"scale_attn_by_inverse_layer_idx": false,
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"scale_attn_weights": true,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length": 50,
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"no_repeat_ngram_size": 3,
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"num_beams": 5,
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"repetition_penalty": 3.0,
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"top_p": 0.95
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}
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},
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"tokenizer_class": "GPT2Tokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.45.0.dev0",
|
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"use_cache": true,
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"vocab_size": 64010
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}
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egy_training_log.txt
ADDED
@@ -0,0 +1,286 @@
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1 |
+
WARNING:__main__:Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: False, 16-bits training: False
|
2 |
+
INFO:__main__:Training/evaluation parameters TrainingArguments(
|
3 |
+
_n_gpu=1,
|
4 |
+
accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False},
|
5 |
+
adafactor=False,
|
6 |
+
adam_beta1=0.9,
|
7 |
+
adam_beta2=0.999,
|
8 |
+
adam_epsilon=1e-08,
|
9 |
+
auto_find_batch_size=False,
|
10 |
+
batch_eval_metrics=False,
|
11 |
+
bf16=False,
|
12 |
+
bf16_full_eval=False,
|
13 |
+
data_seed=None,
|
14 |
+
dataloader_drop_last=False,
|
15 |
+
dataloader_num_workers=0,
|
16 |
+
dataloader_persistent_workers=False,
|
17 |
+
dataloader_pin_memory=True,
|
18 |
+
dataloader_prefetch_factor=None,
|
19 |
+
ddp_backend=None,
|
20 |
+
ddp_broadcast_buffers=None,
|
21 |
+
ddp_bucket_cap_mb=None,
|
22 |
+
ddp_find_unused_parameters=None,
|
23 |
+
ddp_timeout=1800,
|
24 |
+
debug=[],
|
25 |
+
deepspeed=None,
|
26 |
+
disable_tqdm=False,
|
27 |
+
dispatch_batches=None,
|
28 |
+
do_eval=True,
|
29 |
+
do_predict=False,
|
30 |
+
do_train=True,
|
31 |
+
eval_accumulation_steps=None,
|
32 |
+
eval_delay=0,
|
33 |
+
eval_do_concat_batches=True,
|
34 |
+
eval_on_start=False,
|
35 |
+
eval_steps=None,
|
36 |
+
eval_strategy=IntervalStrategy.EPOCH,
|
37 |
+
eval_use_gather_object=False,
|
38 |
+
evaluation_strategy=epoch,
|
39 |
+
fp16=False,
|
40 |
+
fp16_backend=auto,
|
41 |
+
fp16_full_eval=False,
|
42 |
+
fp16_opt_level=O1,
|
43 |
+
fsdp=[],
|
44 |
+
fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False},
|
45 |
+
fsdp_min_num_params=0,
|
46 |
+
fsdp_transformer_layer_cls_to_wrap=None,
|
47 |
+
full_determinism=False,
|
48 |
+
gradient_accumulation_steps=1,
|
49 |
+
gradient_checkpointing=False,
|
50 |
+
gradient_checkpointing_kwargs=None,
|
51 |
+
greater_is_better=False,
|
52 |
+
group_by_length=False,
|
53 |
+
half_precision_backend=auto,
|
54 |
+
hub_always_push=False,
|
55 |
+
hub_model_id=None,
|
56 |
+
hub_private_repo=False,
|
57 |
+
hub_strategy=HubStrategy.EVERY_SAVE,
|
58 |
+
hub_token=<HUB_TOKEN>,
|
59 |
+
ignore_data_skip=False,
|
60 |
+
include_inputs_for_metrics=False,
|
61 |
+
include_num_input_tokens_seen=False,
|
62 |
+
include_tokens_per_second=False,
|
63 |
+
jit_mode_eval=False,
|
64 |
+
label_names=None,
|
65 |
+
label_smoothing_factor=0.0,
|
66 |
+
learning_rate=5e-05,
|
67 |
+
length_column_name=length,
|
68 |
+
load_best_model_at_end=True,
|
69 |
+
local_rank=0,
|
70 |
+
log_level=passive,
|
71 |
+
log_level_replica=warning,
|
72 |
+
log_on_each_node=True,
|
73 |
+
logging_dir=/home/iais_marenpielka/Bouthaina/res_nw_cls_all_aragpt2-large/runs/Sep24_19-59-55_lmgpu-node-04,
|
74 |
+
logging_first_step=False,
|
75 |
+
logging_nan_inf_filter=True,
|
76 |
+
logging_steps=500,
|
77 |
+
logging_strategy=IntervalStrategy.EPOCH,
|
78 |
+
lr_scheduler_kwargs={},
|
79 |
+
lr_scheduler_type=SchedulerType.LINEAR,
|
80 |
+
max_grad_norm=1.0,
|
81 |
+
max_steps=-1,
|
82 |
+
metric_for_best_model=loss,
|
83 |
+
mp_parameters=,
|
84 |
+
neftune_noise_alpha=None,
|
85 |
+
no_cuda=False,
|
86 |
+
num_train_epochs=20.0,
|
87 |
+
optim=OptimizerNames.ADAMW_TORCH,
|
88 |
+
optim_args=None,
|
89 |
+
optim_target_modules=None,
|
90 |
+
output_dir=/home/iais_marenpielka/Bouthaina/res_nw_cls_all_aragpt2-large,
|
91 |
+
overwrite_output_dir=False,
|
92 |
+
past_index=-1,
|
93 |
+
per_device_eval_batch_size=4,
|
94 |
+
per_device_train_batch_size=4,
|
95 |
+
prediction_loss_only=False,
|
96 |
+
push_to_hub=True,
|
97 |
+
push_to_hub_model_id=None,
|
98 |
+
push_to_hub_organization=None,
|
99 |
+
push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
|
100 |
+
ray_scope=last,
|
101 |
+
remove_unused_columns=True,
|
102 |
+
report_to=[],
|
103 |
+
restore_callback_states_from_checkpoint=False,
|
104 |
+
resume_from_checkpoint=None,
|
105 |
+
run_name=/home/iais_marenpielka/Bouthaina/res_nw_cls_all_aragpt2-large,
|
106 |
+
save_on_each_node=False,
|
107 |
+
save_only_model=False,
|
108 |
+
save_safetensors=True,
|
109 |
+
save_steps=500,
|
110 |
+
save_strategy=IntervalStrategy.EPOCH,
|
111 |
+
save_total_limit=None,
|
112 |
+
seed=42,
|
113 |
+
skip_memory_metrics=True,
|
114 |
+
split_batches=None,
|
115 |
+
tf32=None,
|
116 |
+
torch_compile=False,
|
117 |
+
torch_compile_backend=None,
|
118 |
+
torch_compile_mode=None,
|
119 |
+
torch_empty_cache_steps=None,
|
120 |
+
torchdynamo=None,
|
121 |
+
tpu_metrics_debug=False,
|
122 |
+
tpu_num_cores=None,
|
123 |
+
use_cpu=False,
|
124 |
+
use_ipex=False,
|
125 |
+
use_legacy_prediction_loop=False,
|
126 |
+
use_mps_device=False,
|
127 |
+
warmup_ratio=0.0,
|
128 |
+
warmup_steps=500,
|
129 |
+
weight_decay=0.0,
|
130 |
+
)
|
131 |
+
INFO:datasets.builder:Using custom data configuration default-9b1924bdbebfdb40
|
132 |
+
INFO:datasets.info:Loading Dataset Infos from /home/iais_marenpielka/Bouthaina/miniconda3/lib/python3.12/site-packages/datasets/packaged_modules/text
|
133 |
+
INFO:datasets.builder:Overwrite dataset info from restored data version if exists.
|
134 |
+
INFO:datasets.info:Loading Dataset info from /home/iais_marenpielka/.cache/huggingface/datasets/text/default-9b1924bdbebfdb40/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101
|
135 |
+
INFO:datasets.builder:Found cached dataset text (/home/iais_marenpielka/.cache/huggingface/datasets/text/default-9b1924bdbebfdb40/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101)
|
136 |
+
INFO:datasets.info:Loading Dataset info from /home/iais_marenpielka/.cache/huggingface/datasets/text/default-9b1924bdbebfdb40/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101
|
137 |
+
INFO:datasets.arrow_dataset:Loading cached processed dataset at /home/iais_marenpielka/.cache/huggingface/datasets/text/default-9b1924bdbebfdb40/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101/cache-b9314c1737667648.arrow
|
138 |
+
INFO:datasets.arrow_dataset:Caching processed dataset at /home/iais_marenpielka/.cache/huggingface/datasets/text/default-9b1924bdbebfdb40/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101/cache-603371462afaf6c9.arrow
|
139 |
+
WARNING:__main__:The tokenizer picked seems to have a very large `model_max_length` (1000000000000000019884624838656). Using block_size=1024 instead. You can change that default value by passing --block_size xxx.
|
140 |
+
INFO:datasets.arrow_dataset:Loading cached processed dataset at /home/iais_marenpielka/.cache/huggingface/datasets/text/default-9b1924bdbebfdb40/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101/cache-1c12113884bb326a.arrow
|
141 |
+
INFO:datasets.arrow_dataset:Caching processed dataset at /home/iais_marenpielka/.cache/huggingface/datasets/text/default-9b1924bdbebfdb40/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101/cache-5f4afeb59a4c1dd7.arrow
|
142 |
+
WARNING:accelerate.utils.other:Detected kernel version 5.4.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
|
143 |
+
WARNING:__main__:Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: False, 16-bits training: False
|
144 |
+
INFO:__main__:Training/evaluation parameters TrainingArguments(
|
145 |
+
_n_gpu=1,
|
146 |
+
accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False},
|
147 |
+
adafactor=False,
|
148 |
+
adam_beta1=0.9,
|
149 |
+
adam_beta2=0.999,
|
150 |
+
adam_epsilon=1e-08,
|
151 |
+
auto_find_batch_size=False,
|
152 |
+
batch_eval_metrics=False,
|
153 |
+
bf16=False,
|
154 |
+
bf16_full_eval=False,
|
155 |
+
data_seed=None,
|
156 |
+
dataloader_drop_last=False,
|
157 |
+
dataloader_num_workers=0,
|
158 |
+
dataloader_persistent_workers=False,
|
159 |
+
dataloader_pin_memory=True,
|
160 |
+
dataloader_prefetch_factor=None,
|
161 |
+
ddp_backend=None,
|
162 |
+
ddp_broadcast_buffers=None,
|
163 |
+
ddp_bucket_cap_mb=None,
|
164 |
+
ddp_find_unused_parameters=None,
|
165 |
+
ddp_timeout=1800,
|
166 |
+
debug=[],
|
167 |
+
deepspeed=None,
|
168 |
+
disable_tqdm=False,
|
169 |
+
dispatch_batches=None,
|
170 |
+
do_eval=True,
|
171 |
+
do_predict=False,
|
172 |
+
do_train=True,
|
173 |
+
eval_accumulation_steps=None,
|
174 |
+
eval_delay=0,
|
175 |
+
eval_do_concat_batches=True,
|
176 |
+
eval_on_start=False,
|
177 |
+
eval_steps=None,
|
178 |
+
eval_strategy=IntervalStrategy.EPOCH,
|
179 |
+
eval_use_gather_object=False,
|
180 |
+
evaluation_strategy=epoch,
|
181 |
+
fp16=False,
|
182 |
+
fp16_backend=auto,
|
183 |
+
fp16_full_eval=False,
|
184 |
+
fp16_opt_level=O1,
|
185 |
+
fsdp=[],
|
186 |
+
fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False},
|
187 |
+
fsdp_min_num_params=0,
|
188 |
+
fsdp_transformer_layer_cls_to_wrap=None,
|
189 |
+
full_determinism=False,
|
190 |
+
gradient_accumulation_steps=1,
|
191 |
+
gradient_checkpointing=False,
|
192 |
+
gradient_checkpointing_kwargs=None,
|
193 |
+
greater_is_better=False,
|
194 |
+
group_by_length=False,
|
195 |
+
half_precision_backend=auto,
|
196 |
+
hub_always_push=False,
|
197 |
+
hub_model_id=None,
|
198 |
+
hub_private_repo=False,
|
199 |
+
hub_strategy=HubStrategy.EVERY_SAVE,
|
200 |
+
hub_token=<HUB_TOKEN>,
|
201 |
+
ignore_data_skip=False,
|
202 |
+
include_inputs_for_metrics=False,
|
203 |
+
include_num_input_tokens_seen=False,
|
204 |
+
include_tokens_per_second=False,
|
205 |
+
jit_mode_eval=False,
|
206 |
+
label_names=None,
|
207 |
+
label_smoothing_factor=0.0,
|
208 |
+
learning_rate=5e-05,
|
209 |
+
length_column_name=length,
|
210 |
+
load_best_model_at_end=True,
|
211 |
+
local_rank=0,
|
212 |
+
log_level=passive,
|
213 |
+
log_level_replica=warning,
|
214 |
+
log_on_each_node=True,
|
215 |
+
logging_dir=/home/iais_marenpielka/Bouthaina/res_nw_cls_all_aragpt2-large/runs/Sep24_20-33-41_lmgpu-node-04,
|
216 |
+
logging_first_step=False,
|
217 |
+
logging_nan_inf_filter=True,
|
218 |
+
logging_steps=500,
|
219 |
+
logging_strategy=IntervalStrategy.EPOCH,
|
220 |
+
lr_scheduler_kwargs={},
|
221 |
+
lr_scheduler_type=SchedulerType.LINEAR,
|
222 |
+
max_grad_norm=1.0,
|
223 |
+
max_steps=-1,
|
224 |
+
metric_for_best_model=loss,
|
225 |
+
mp_parameters=,
|
226 |
+
neftune_noise_alpha=None,
|
227 |
+
no_cuda=False,
|
228 |
+
num_train_epochs=20.0,
|
229 |
+
optim=OptimizerNames.ADAMW_TORCH,
|
230 |
+
optim_args=None,
|
231 |
+
optim_target_modules=None,
|
232 |
+
output_dir=/home/iais_marenpielka/Bouthaina/res_nw_cls_all_aragpt2-large,
|
233 |
+
overwrite_output_dir=False,
|
234 |
+
past_index=-1,
|
235 |
+
per_device_eval_batch_size=4,
|
236 |
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per_device_train_batch_size=4,
|
237 |
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prediction_loss_only=False,
|
238 |
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push_to_hub=True,
|
239 |
+
push_to_hub_model_id=None,
|
240 |
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push_to_hub_organization=None,
|
241 |
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push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
|
242 |
+
ray_scope=last,
|
243 |
+
remove_unused_columns=True,
|
244 |
+
report_to=[],
|
245 |
+
restore_callback_states_from_checkpoint=False,
|
246 |
+
resume_from_checkpoint=None,
|
247 |
+
run_name=/home/iais_marenpielka/Bouthaina/res_nw_cls_all_aragpt2-large,
|
248 |
+
save_on_each_node=False,
|
249 |
+
save_only_model=False,
|
250 |
+
save_safetensors=True,
|
251 |
+
save_steps=500,
|
252 |
+
save_strategy=IntervalStrategy.EPOCH,
|
253 |
+
save_total_limit=None,
|
254 |
+
seed=42,
|
255 |
+
skip_memory_metrics=True,
|
256 |
+
split_batches=None,
|
257 |
+
tf32=None,
|
258 |
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torch_compile=False,
|
259 |
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torch_compile_backend=None,
|
260 |
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torch_compile_mode=None,
|
261 |
+
torch_empty_cache_steps=None,
|
262 |
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torchdynamo=None,
|
263 |
+
tpu_metrics_debug=False,
|
264 |
+
tpu_num_cores=None,
|
265 |
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use_cpu=False,
|
266 |
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use_ipex=False,
|
267 |
+
use_legacy_prediction_loop=False,
|
268 |
+
use_mps_device=False,
|
269 |
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warmup_ratio=0.0,
|
270 |
+
warmup_steps=500,
|
271 |
+
weight_decay=0.0,
|
272 |
+
)
|
273 |
+
INFO:datasets.builder:Using custom data configuration default-9b1924bdbebfdb40
|
274 |
+
INFO:datasets.info:Loading Dataset Infos from /home/iais_marenpielka/Bouthaina/miniconda3/lib/python3.12/site-packages/datasets/packaged_modules/text
|
275 |
+
INFO:datasets.builder:Overwrite dataset info from restored data version if exists.
|
276 |
+
INFO:datasets.info:Loading Dataset info from /home/iais_marenpielka/.cache/huggingface/datasets/text/default-9b1924bdbebfdb40/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101
|
277 |
+
INFO:datasets.builder:Found cached dataset text (/home/iais_marenpielka/.cache/huggingface/datasets/text/default-9b1924bdbebfdb40/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101)
|
278 |
+
INFO:datasets.info:Loading Dataset info from /home/iais_marenpielka/.cache/huggingface/datasets/text/default-9b1924bdbebfdb40/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101
|
279 |
+
INFO:datasets.arrow_dataset:Caching processed dataset at /home/iais_marenpielka/.cache/huggingface/datasets/text/default-9b1924bdbebfdb40/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101/cache-b1d5dd2f7f488bc8.arrow
|
280 |
+
INFO:datasets.arrow_dataset:Caching processed dataset at /home/iais_marenpielka/.cache/huggingface/datasets/text/default-9b1924bdbebfdb40/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101/cache-6440d45a974a1bab.arrow
|
281 |
+
WARNING:__main__:The tokenizer picked seems to have a very large `model_max_length` (1000000000000000019884624838656). Using block_size=1024 instead. You can change that default value by passing --block_size xxx.
|
282 |
+
INFO:datasets.arrow_dataset:Caching processed dataset at /home/iais_marenpielka/.cache/huggingface/datasets/text/default-9b1924bdbebfdb40/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101/cache-e36ec5529056b6c9.arrow
|
283 |
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INFO:datasets.arrow_dataset:Caching processed dataset at /home/iais_marenpielka/.cache/huggingface/datasets/text/default-9b1924bdbebfdb40/0.0.0/96636a050ef51804b84abbfd4f4ad440e01153c24b86293eb5c3b300a41f9101/cache-e1a99260ee54f3bd.arrow
|
284 |
+
WARNING:accelerate.utils.other:Detected kernel version 5.4.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
|
285 |
+
INFO:root:Epoch 1.0: Train Loss = None, Eval Loss = None
|
286 |
+
INFO:absl:Using default tokenizer.
|
merges.txt
ADDED
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model.safetensors
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size 3166581272
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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95 |
+
"normalized": false,
|
96 |
+
"rstrip": false,
|
97 |
+
"single_word": false,
|
98 |
+
"special": true
|
99 |
+
},
|
100 |
+
"64008": {
|
101 |
+
"content": "<Ye>",
|
102 |
+
"lstrip": false,
|
103 |
+
"normalized": false,
|
104 |
+
"rstrip": false,
|
105 |
+
"single_word": false,
|
106 |
+
"special": true
|
107 |
+
},
|
108 |
+
"64009": {
|
109 |
+
"content": "<Gu>",
|
110 |
+
"lstrip": false,
|
111 |
+
"normalized": false,
|
112 |
+
"rstrip": false,
|
113 |
+
"single_word": false,
|
114 |
+
"special": true
|
115 |
+
}
|
116 |
+
},
|
117 |
+
"additional_special_tokens": [
|
118 |
+
"<sep>",
|
119 |
+
"<Le>",
|
120 |
+
"<Ir>",
|
121 |
+
"<Eg>",
|
122 |
+
"<Da>",
|
123 |
+
"<Ye>",
|
124 |
+
"<Gu>"
|
125 |
+
],
|
126 |
+
"bos_token": "<|bos|>",
|
127 |
+
"clean_up_tokenization_spaces": true,
|
128 |
+
"eos_token": "<|endoftext|>",
|
129 |
+
"max_length": 1024,
|
130 |
+
"model_max_length": 1000000000000000019884624838656,
|
131 |
+
"pad_to_multiple_of": null,
|
132 |
+
"pad_token": "[PAD]",
|
133 |
+
"pad_token_type_id": 0,
|
134 |
+
"padding_side": "right",
|
135 |
+
"stride": 0,
|
136 |
+
"tokenizer_class": "GPT2Tokenizer",
|
137 |
+
"truncation_side": "right",
|
138 |
+
"truncation_strategy": "longest_first",
|
139 |
+
"unk_token": "<|unk|>"
|
140 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:56beb4bcaa10817b08989fea279e49aee4c357c4ae969f6bcf3954a73d8a204a
|
3 |
+
size 5240
|
vocab.json
ADDED
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|
|