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  23%|β–ˆβ–ˆβ–Ž | 60/256 [00:39<02:02, 1.59it/s]
69
  24%|β–ˆβ–ˆβ– | 61/256 [00:39<02:01, 1.60it/s]
70
  24%|β–ˆβ–ˆβ– | 62/256 [00:40<02:01, 1.60it/s]
71
  25%|β–ˆβ–ˆβ– | 63/256 [00:40<01:58, 1.63it/s]
72
  25%|β–ˆβ–ˆβ–Œ | 64/256 [00:41<02:01, 1.58it/s]
73
  25%|β–ˆβ–ˆβ–Œ | 65/256 [00:42<02:03, 1.54it/s]
74
  26%|β–ˆβ–ˆβ–Œ | 66/256 [00:42<02:01, 1.56it/s]
75
  26%|β–ˆβ–ˆβ–Œ | 67/256 [00:43<02:03, 1.53it/s]
76
  27%|β–ˆβ–ˆβ–‹ | 68/256 [00:44<02:00, 1.57it/s]
77
  27%|β–ˆβ–ˆβ–‹ | 69/256 [00:44<01:58, 1.58it/s]
78
  27%|β–ˆβ–ˆβ–‹ | 70/256 [00:45<01:56, 1.60it/s]
79
  28%|β–ˆβ–ˆβ–Š | 71/256 [00:45<01:56, 1.59it/s]
80
  28%|β–ˆβ–ˆβ–Š | 72/256 [00:46<01:56, 1.58it/s]
81
  29%|β–ˆβ–ˆβ–Š | 73/256 [00:47<01:54, 1.60it/s]
82
  29%|β–ˆβ–ˆβ–‰ | 74/256 [00:47<01:52, 1.61it/s]
83
  29%|β–ˆβ–ˆβ–‰ | 75/256 [00:48<01:52, 1.61it/s]
84
  30%|β–ˆβ–ˆβ–‰ | 76/256 [00:49<01:52, 1.59it/s]
85
  30%|β–ˆβ–ˆβ–ˆ | 77/256 [00:49<01:49, 1.63it/s]
86
  30%|β–ˆβ–ˆβ–ˆ | 78/256 [00:50<01:52, 1.58it/s]
87
  31%|β–ˆβ–ˆβ–ˆ | 79/256 [00:50<01:48, 1.64it/s]
88
  31%|β–ˆβ–ˆβ–ˆβ– | 80/256 [00:51<01:52, 1.57it/s]
89
 
 
90
  31%|β–ˆβ–ˆβ–ˆβ– | 80/256 [00:51<01:52, 1.57it/s]
91
  32%|β–ˆβ–ˆβ–ˆβ– | 81/256 [00:52<01:49, 1.59it/s]
92
  32%|β–ˆβ–ˆβ–ˆβ– | 82/256 [00:52<01:53, 1.53it/s]
93
  32%|β–ˆβ–ˆβ–ˆβ– | 83/256 [00:53<01:50, 1.57it/s]
94
  33%|β–ˆβ–ˆβ–ˆβ–Ž | 84/256 [00:54<01:47, 1.61it/s]
95
  33%|β–ˆβ–ˆβ–ˆβ–Ž | 85/256 [00:54<01:46, 1.61it/s]
96
  34%|β–ˆβ–ˆβ–ˆβ–Ž | 86/256 [00:55<01:43, 1.64it/s]
97
  34%|β–ˆβ–ˆβ–ˆβ– | 87/256 [00:55<01:46, 1.59it/s]
98
  34%|β–ˆβ–ˆβ–ˆβ– | 88/256 [00:56<01:46, 1.58it/s]
99
  35%|β–ˆβ–ˆβ–ˆβ– | 89/256 [00:57<01:44, 1.60it/s]
100
  35%|β–ˆβ–ˆβ–ˆβ–Œ | 90/256 [00:57<01:45, 1.57it/s]
101
  36%|β–ˆβ–ˆβ–ˆβ–Œ | 91/256 [00:58<01:45, 1.57it/s]
102
  36%|β–ˆβ–ˆβ–ˆβ–Œ | 92/256 [00:59<01:44, 1.56it/s]
103
  36%|β–ˆβ–ˆβ–ˆβ–‹ | 93/256 [00:59<01:42, 1.60it/s]
104
  37%|β–ˆβ–ˆβ–ˆβ–‹ | 94/256 [01:00<01:43, 1.56it/s]
105
  37%|β–ˆβ–ˆβ–ˆβ–‹ | 95/256 [01:01<01:43, 1.56it/s]
106
  38%|β–ˆβ–ˆβ–ˆβ–Š | 96/256 [01:01<01:41, 1.57it/s]
107
  38%|β–ˆβ–ˆβ–ˆβ–Š | 97/256 [01:02<01:38, 1.61it/s]
108
  38%|β–ˆβ–ˆβ–ˆβ–Š | 98/256 [01:02<01:39, 1.58it/s]
109
  39%|β–ˆβ–ˆβ–ˆβ–Š | 99/256 [01:03<01:39, 1.57it/s]
110
  39%|β–ˆβ–ˆβ–ˆβ–‰ | 100/256 [01:04<01:40, 1.55it/s]
111
 
 
112
  39%|β–ˆβ–ˆβ–ˆβ–‰ | 100/256 [01:04<01:40, 1.55it/s]Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
 
 
113
  39%|β–ˆβ–ˆβ–ˆβ–‰ | 101/256 [01:15<09:38, 3.73s/it]
114
  40%|β–ˆβ–ˆβ–ˆβ–‰ | 102/256 [01:15<07:12, 2.81s/it]
115
  40%|β–ˆβ–ˆβ–ˆβ–ˆ | 103/256 [01:16<05:29, 2.15s/it]
116
  41%|β–ˆβ–ˆβ–ˆβ–ˆ | 104/256 [01:17<04:19, 1.71s/it]
117
  41%|β–ˆβ–ˆβ–ˆβ–ˆ | 105/256 [01:17<03:28, 1.38s/it]
118
  41%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 106/256 [01:18<02:54, 1.16s/it]
119
  42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 107/256 [01:19<02:29, 1.00s/it]
120
  42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 108/256 [01:19<02:11, 1.12it/s]
121
  43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 109/256 [01:20<02:01, 1.21it/s]
122
  43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 110/256 [01:20<01:52, 1.30it/s]
123
  43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 111/256 [01:21<01:46, 1.36it/s]
124
  44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 112/256 [01:22<01:42, 1.40it/s]
125
  44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 113/256 [01:22<01:38, 1.45it/s]/opt/conda/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
 
 
126
  45%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 114/256 [01:23<01:42, 1.38it/s]
127
  45%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 115/256 [01:24<01:39, 1.42it/s]
128
  45%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 116/256 [01:25<01:36, 1.45it/s]
129
  46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 117/256 [01:25<01:32, 1.51it/s]
130
  46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 118/256 [01:26<01:29, 1.55it/s]
131
  46%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 119/256 [01:26<01:29, 1.53it/s]
132
  47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 120/256 [01:27<01:27, 1.55it/s]
133
 
 
134
  47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 120/256 [01:27<01:27, 1.55it/s]
135
  47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 121/256 [01:28<01:26, 1.57it/s]
136
  48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 122/256 [01:28<01:25, 1.56it/s]
137
  48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 123/256 [01:29<01:26, 1.54it/s]
138
  48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 124/256 [01:30<01:26, 1.53it/s]
139
  49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 125/256 [01:30<01:24, 1.55it/s]
140
  49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 126/256 [01:31<01:26, 1.51it/s]
141
  50%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 127/256 [01:32<01:25, 1.51it/s]
142
  50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 128/256 [01:32<01:23, 1.54it/s]
143
  50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 129/256 [01:33<01:22, 1.54it/s]
144
  51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 130/256 [01:34<01:23, 1.52it/s]
145
  51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 131/256 [01:34<01:20, 1.55it/s]
146
  52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 132/256 [01:35<01:20, 1.53it/s]
147
  52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 133/256 [01:36<01:21, 1.51it/s]
148
  52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 134/256 [01:36<01:21, 1.50it/s]
149
  53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 135/256 [01:37<01:19, 1.52it/s]
150
  53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 136/256 [01:38<01:17, 1.54it/s]
151
  54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 137/256 [01:38<01:17, 1.54it/s]
152
  54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 138/256 [01:39<01:16, 1.53it/s]
153
  54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 139/256 [01:39<01:16, 1.54it/s]
154
  55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 140/256 [01:40<01:14, 1.56it/s]
155
 
 
156
  55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 140/256 [01:40<01:14, 1.56it/s]
157
  55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 141/256 [01:41<01:13, 1.56it/s]
158
  55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 142/256 [01:41<01:14, 1.53it/s]
159
  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 143/256 [01:42<01:14, 1.52it/s]
160
  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 144/256 [01:43<01:12, 1.55it/s]
161
  57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 145/256 [01:43<01:15, 1.48it/s]
162
  57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 146/256 [01:44<01:16, 1.45it/s]
163
  57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 147/256 [01:45<01:14, 1.47it/s]
164
  58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 148/256 [01:45<01:13, 1.48it/s]
165
  58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 149/256 [01:46<01:11, 1.49it/s]
166
  59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/256 [01:47<01:11, 1.47it/s]
167
  59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 151/256 [01:47<01:09, 1.51it/s]
168
  59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 152/256 [01:48<01:09, 1.50it/s]
169
  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 153/256 [01:49<01:08, 1.51it/s]
170
  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 154/256 [01:49<01:06, 1.53it/s]
171
  61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 155/256 [01:50<01:06, 1.53it/s]
172
  61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 156/256 [01:51<01:04, 1.54it/s]
173
  61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 157/256 [01:51<01:05, 1.51it/s]
174
  62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 158/256 [01:52<01:05, 1.51it/s]
175
  62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 159/256 [01:53<01:04, 1.51it/s]
176
  62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 160/256 [01:53<01:03, 1.52it/s]
177
 
 
178
  62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 160/256 [01:53<01:03, 1.52it/s]
179
  63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 161/256 [01:54<01:05, 1.45it/s]
180
  63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 162/256 [01:55<01:05, 1.43it/s]
181
  64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 163/256 [01:56<01:06, 1.39it/s]
182
  64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 164/256 [01:56<01:04, 1.44it/s]
183
  64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 165/256 [01:57<01:02, 1.45it/s]
184
  65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 166/256 [01:58<01:00, 1.48it/s]
185
  65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 167/256 [01:58<01:00, 1.47it/s]
186
  66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 168/256 [01:59<01:02, 1.42it/s]
187
  66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 169/256 [02:00<01:01, 1.41it/s]
188
  66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 170/256 [02:00<00:59, 1.44it/s]
189
  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 171/256 [02:01<00:58, 1.45it/s]
190
  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 172/256 [02:02<00:57, 1.47it/s]
191
  68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 173/256 [02:02<00:55, 1.49it/s]
192
  68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 174/256 [02:03<00:55, 1.49it/s]
 
1
+ The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.
2
+
3
+ /opt/conda/lib/python3.10/site-packages/transformers/deepspeed.py:23: FutureWarning: transformers.deepspeed module is deprecated and will be removed in a future version. Please import deepspeed modules directly from transformers.integrations
4
+ warnings.warn(
5
+ 2024-07-03 03:49:10.317700: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
6
+ 2024-07-03 03:49:10.317839: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
7
+ 2024-07-03 03:49:10.452823: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
8
+ Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
9
+ /opt/conda/lib/python3.10/site-packages/datasets/load.py:929: FutureWarning: The repository for data contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at /kaggle/working/amr-tst-indo/AMRBART-id/fine-tune/data_interface/data.py
10
+ You can avoid this message in future by passing the argument `trust_remote_code=True`.
11
+ Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.
12
+ warnings.warn(
13
+
14
+
15
+ warnings.warn(
16
+
17
+ Saving cached train data ...
18
+
19
+ /kaggle/working/amr-tst-indo/AMRBART-id/fine-tune/main.py:283: FutureWarning: load_metric is deprecated and will be removed in the next major version of datasets. Use 'evaluate.load' instead, from the new library πŸ€— Evaluate: https://huggingface.co/docs/evaluate
20
+ metric = load_metric(path="metric/sacrebleu.py") if training_args.task == "amr2text" else None
21
+ /opt/conda/lib/python3.10/site-packages/datasets/load.py:855: FutureWarning: The repository for sacrebleu contains custom code which must be executed to correctly load the metric. You can inspect the repository content at metric/sacrebleu.py
22
+ You can avoid this message in future by passing the argument `trust_remote_code=True`.
23
+ Passing `trust_remote_code=True` will be mandatory to load this metric from the next major release of `datasets`.
24
+ warnings.warn(
25
+ /opt/conda/lib/python3.10/site-packages/transformers/optimization.py:588: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning
26
+ warnings.warn(
27
+ All 256 steps, warm_up steps: 200
28
+ wandb: WARNING The `run_name` is currently set to the same value as `TrainingArguments.output_dir`. If this was not intended, please specify a different run name by setting the `TrainingArguments.run_name` parameter.
29
+ wandb: Currently logged in as: abdiharyadi. Use `wandb login --relogin` to force relogin
30
+ wandb: wandb version 0.17.3 is available! To upgrade, please run:
31
+ wandb: $ pip install wandb --upgrade
32
+ wandb: Tracking run with wandb version 0.17.0
33
+ wandb: Run data is saved locally in /kaggle/working/amr-tst-indo/AMRBART-id/fine-tune/wandb/run-20240703_034925-cxyvsvpd
34
+ wandb: Run `wandb offline` to turn off syncing.
35
+ wandb: Syncing run /kaggle/working/amr-tst-indo/AMRBART-id/fine-tune/../outputs/indoamrbart-mbart-fted
36
+ wandb: ⭐️ View project at https://wandb.ai/abdiharyadi/huggingface
37
+ wandb: πŸš€ View run at https://wandb.ai/abdiharyadi/huggingface/runs/cxyvsvpd
38
+
39
  0%| | 0/256 [00:00<?, ?it/s]/opt/conda/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
40
+ self.pid = os.fork()
41
+
42
  0%| | 1/256 [00:01<07:16, 1.71s/it]
43
 
44
+
45
  0%| | 1/256 [00:01<07:16, 1.71s/it]
46
  1%| | 2/256 [00:02<04:31, 1.07s/it]
47
  1%| | 3/256 [00:02<03:37, 1.16it/s]
48
  2%|▏ | 4/256 [00:03<03:17, 1.27it/s]
49
  2%|▏ | 5/256 [00:04<03:08, 1.33it/s]
50
  2%|▏ | 6/256 [00:04<02:57, 1.41it/s]
51
  3%|β–Ž | 7/256 [00:05<02:51, 1.45it/s]
52
  3%|β–Ž | 8/256 [00:06<02:44, 1.50it/s]
53
  4%|β–Ž | 9/256 [00:06<02:39, 1.55it/s]
54
  4%|▍ | 10/256 [00:07<02:41, 1.53it/s]
55
  4%|▍ | 11/256 [00:08<02:37, 1.55it/s]
56
  5%|▍ | 12/256 [00:08<02:32, 1.60it/s]
57
  5%|β–Œ | 13/256 [00:09<02:32, 1.60it/s]
58
  5%|β–Œ | 14/256 [00:09<02:29, 1.62it/s]
59
  6%|β–Œ | 15/256 [00:10<02:30, 1.60it/s]
60
  6%|β–‹ | 16/256 [00:11<02:29, 1.60it/s]
61
  7%|β–‹ | 17/256 [00:11<02:36, 1.53it/s]
62
  7%|β–‹ | 18/256 [00:12<02:37, 1.51it/s]
63
  7%|β–‹ | 19/256 [00:13<02:29, 1.58it/s]
64
  8%|β–Š | 20/256 [00:13<02:26, 1.61it/s]
65
 
66
+
67
  8%|β–Š | 20/256 [00:13<02:26, 1.61it/s]
68
  8%|β–Š | 21/256 [00:14<02:29, 1.57it/s]
69
  9%|β–Š | 22/256 [00:15<02:27, 1.58it/s]
70
  9%|β–‰ | 23/256 [00:15<02:26, 1.59it/s]
71
  9%|β–‰ | 24/256 [00:16<02:25, 1.60it/s]
72
  10%|β–‰ | 25/256 [00:16<02:25, 1.59it/s]
73
  10%|β–ˆ | 26/256 [00:17<02:24, 1.59it/s]
74
  11%|β–ˆ | 27/256 [00:18<02:23, 1.60it/s]
75
  11%|β–ˆ | 28/256 [00:18<02:24, 1.58it/s]
76
  11%|β–ˆβ– | 29/256 [00:19<02:23, 1.58it/s]
77
  12%|β–ˆβ– | 30/256 [00:20<02:25, 1.55it/s]
78
  12%|β–ˆβ– | 31/256 [00:20<02:21, 1.59it/s]
79
  12%|β–ˆβ–Ž | 32/256 [00:21<02:21, 1.58it/s]
80
  13%|β–ˆβ–Ž | 33/256 [00:22<02:25, 1.53it/s]
81
  13%|β–ˆβ–Ž | 34/256 [00:22<02:23, 1.55it/s]
82
  14%|β–ˆβ–Ž | 35/256 [00:23<02:24, 1.53it/s]
83
  14%|β–ˆβ– | 36/256 [00:23<02:20, 1.56it/s]
84
  14%|β–ˆβ– | 37/256 [00:24<02:17, 1.59it/s]
85
  15%|β–ˆβ– | 38/256 [00:25<02:14, 1.62it/s]
86
  15%|β–ˆβ–Œ | 39/256 [00:25<02:12, 1.64it/s]
87
  16%|β–ˆβ–Œ | 40/256 [00:26<02:13, 1.61it/s]
88
 
89
+
90
  16%|β–ˆβ–Œ | 40/256 [00:26<02:13, 1.61it/s]
91
  16%|β–ˆβ–Œ | 41/256 [00:27<02:14, 1.59it/s]
92
  16%|β–ˆβ–‹ | 42/256 [00:27<02:15, 1.57it/s]
93
  17%|β–ˆβ–‹ | 43/256 [00:28<02:15, 1.57it/s]
94
  17%|β–ˆβ–‹ | 44/256 [00:28<02:14, 1.58it/s]
95
  18%|β–ˆβ–Š | 45/256 [00:29<02:12, 1.60it/s]
96
  18%|β–ˆβ–Š | 46/256 [00:30<02:11, 1.59it/s]
97
  18%|β–ˆβ–Š | 47/256 [00:30<02:08, 1.62it/s]
98
  19%|β–ˆβ–‰ | 48/256 [00:31<02:11, 1.58it/s]
99
  19%|β–ˆβ–‰ | 49/256 [00:32<02:15, 1.53it/s]
100
  20%|β–ˆβ–‰ | 50/256 [00:32<02:10, 1.57it/s]
101
  20%|β–ˆβ–‰ | 51/256 [00:33<02:06, 1.62it/s]
102
  20%|β–ˆβ–ˆ | 52/256 [00:33<02:05, 1.62it/s]
103
  21%|β–ˆβ–ˆ | 53/256 [00:34<02:07, 1.60it/s]
104
  21%|β–ˆβ–ˆ | 54/256 [00:35<02:05, 1.61it/s]
105
  21%|β–ˆβ–ˆβ– | 55/256 [00:35<02:06, 1.59it/s]
106
  22%|β–ˆβ–ˆβ– | 56/256 [00:36<02:09, 1.54it/s]
107
  22%|β–ˆβ–ˆβ– | 57/256 [00:37<02:07, 1.56it/s]
108
  23%|β–ˆβ–ˆβ–Ž | 58/256 [00:37<02:04, 1.59it/s]
109
  23%|β–ˆβ–ˆβ–Ž | 59/256 [00:38<02:05, 1.57it/s]
110
  23%|β–ˆβ–ˆβ–Ž | 60/256 [00:39<02:02, 1.59it/s]
111
 
112
+
113
  23%|β–ˆβ–ˆβ–Ž | 60/256 [00:39<02:02, 1.59it/s]
114
  24%|β–ˆβ–ˆβ– | 61/256 [00:39<02:01, 1.60it/s]
115
  24%|β–ˆβ–ˆβ– | 62/256 [00:40<02:01, 1.60it/s]
116
  25%|β–ˆβ–ˆβ– | 63/256 [00:40<01:58, 1.63it/s]
117
  25%|β–ˆβ–ˆβ–Œ | 64/256 [00:41<02:01, 1.58it/s]
118
  25%|β–ˆβ–ˆβ–Œ | 65/256 [00:42<02:03, 1.54it/s]
119
  26%|β–ˆβ–ˆβ–Œ | 66/256 [00:42<02:01, 1.56it/s]
120
  26%|β–ˆβ–ˆβ–Œ | 67/256 [00:43<02:03, 1.53it/s]
121
  27%|β–ˆβ–ˆβ–‹ | 68/256 [00:44<02:00, 1.57it/s]
122
  27%|β–ˆβ–ˆβ–‹ | 69/256 [00:44<01:58, 1.58it/s]
123
  27%|β–ˆβ–ˆβ–‹ | 70/256 [00:45<01:56, 1.60it/s]
124
  28%|β–ˆβ–ˆβ–Š | 71/256 [00:45<01:56, 1.59it/s]
125
  28%|β–ˆβ–ˆβ–Š | 72/256 [00:46<01:56, 1.58it/s]
126
  29%|β–ˆβ–ˆβ–Š | 73/256 [00:47<01:54, 1.60it/s]
127
  29%|β–ˆβ–ˆβ–‰ | 74/256 [00:47<01:52, 1.61it/s]
128
  29%|β–ˆβ–ˆβ–‰ | 75/256 [00:48<01:52, 1.61it/s]
129
  30%|β–ˆβ–ˆβ–‰ | 76/256 [00:49<01:52, 1.59it/s]
130
  30%|β–ˆβ–ˆβ–ˆ | 77/256 [00:49<01:49, 1.63it/s]
131
  30%|β–ˆβ–ˆβ–ˆ | 78/256 [00:50<01:52, 1.58it/s]
132
  31%|β–ˆβ–ˆβ–ˆ | 79/256 [00:50<01:48, 1.64it/s]
133
  31%|β–ˆβ–ˆβ–ˆβ– | 80/256 [00:51<01:52, 1.57it/s]
134
 
135
+
136
  31%|β–ˆβ–ˆβ–ˆβ– | 80/256 [00:51<01:52, 1.57it/s]
137
  32%|β–ˆβ–ˆβ–ˆβ– | 81/256 [00:52<01:49, 1.59it/s]
138
  32%|β–ˆβ–ˆβ–ˆβ– | 82/256 [00:52<01:53, 1.53it/s]
139
  32%|β–ˆβ–ˆβ–ˆβ– | 83/256 [00:53<01:50, 1.57it/s]
140
  33%|β–ˆβ–ˆβ–ˆβ–Ž | 84/256 [00:54<01:47, 1.61it/s]
141
  33%|β–ˆβ–ˆβ–ˆβ–Ž | 85/256 [00:54<01:46, 1.61it/s]
142
  34%|β–ˆβ–ˆβ–ˆβ–Ž | 86/256 [00:55<01:43, 1.64it/s]
143
  34%|β–ˆβ–ˆβ–ˆβ– | 87/256 [00:55<01:46, 1.59it/s]
144
  34%|β–ˆβ–ˆβ–ˆβ– | 88/256 [00:56<01:46, 1.58it/s]
145
  35%|β–ˆβ–ˆβ–ˆβ– | 89/256 [00:57<01:44, 1.60it/s]
146
  35%|β–ˆβ–ˆβ–ˆβ–Œ | 90/256 [00:57<01:45, 1.57it/s]
147
  36%|β–ˆβ–ˆβ–ˆβ–Œ | 91/256 [00:58<01:45, 1.57it/s]
148
  36%|β–ˆβ–ˆβ–ˆβ–Œ | 92/256 [00:59<01:44, 1.56it/s]
149
  36%|β–ˆβ–ˆβ–ˆβ–‹ | 93/256 [00:59<01:42, 1.60it/s]
150
  37%|β–ˆβ–ˆβ–ˆβ–‹ | 94/256 [01:00<01:43, 1.56it/s]
151
  37%|β–ˆβ–ˆβ–ˆβ–‹ | 95/256 [01:01<01:43, 1.56it/s]
152
  38%|β–ˆβ–ˆβ–ˆβ–Š | 96/256 [01:01<01:41, 1.57it/s]
153
  38%|β–ˆβ–ˆβ–ˆβ–Š | 97/256 [01:02<01:38, 1.61it/s]
154
  38%|β–ˆβ–ˆβ–ˆβ–Š | 98/256 [01:02<01:39, 1.58it/s]
155
  39%|β–ˆβ–ˆβ–ˆβ–Š | 99/256 [01:03<01:39, 1.57it/s]
156
  39%|β–ˆβ–ˆβ–ˆβ–‰ | 100/256 [01:04<01:40, 1.55it/s]
157
 
158
+
159
  39%|β–ˆβ–ˆβ–ˆβ–‰ | 100/256 [01:04<01:40, 1.55it/s]Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
160
+ Non-default generation parameters: {'max_length': 200, 'early_stopping': True, 'num_beams': 5, 'forced_eos_token_id': 2}
161
+
162
  39%|β–ˆβ–ˆβ–ˆβ–‰ | 101/256 [01:15<09:38, 3.73s/it]
163
  40%|β–ˆβ–ˆβ–ˆβ–‰ | 102/256 [01:15<07:12, 2.81s/it]
164
  40%|β–ˆβ–ˆβ–ˆβ–ˆ | 103/256 [01:16<05:29, 2.15s/it]
165
  41%|β–ˆβ–ˆβ–ˆβ–ˆ | 104/256 [01:17<04:19, 1.71s/it]
166
  41%|β–ˆβ–ˆβ–ˆβ–ˆ | 105/256 [01:17<03:28, 1.38s/it]
167
  41%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 106/256 [01:18<02:54, 1.16s/it]
168
  42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 107/256 [01:19<02:29, 1.00s/it]
169
  42%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 108/256 [01:19<02:11, 1.12it/s]
170
  43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 109/256 [01:20<02:01, 1.21it/s]
171
  43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 110/256 [01:20<01:52, 1.30it/s]
172
  43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 111/256 [01:21<01:46, 1.36it/s]
173
  44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 112/256 [01:22<01:42, 1.40it/s]
174
  44%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 113/256 [01:22<01:38, 1.45it/s]/opt/conda/lib/python3.10/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
175
+ self.pid = os.fork()
176
+
177
  45%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 114/256 [01:23<01:42, 1.38it/s]
178
  45%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 115/256 [01:24<01:39, 1.42it/s]
179
  45%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 116/256 [01:25<01:36, 1.45it/s]
180
  46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 117/256 [01:25<01:32, 1.51it/s]
181
  46%|β–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 118/256 [01:26<01:29, 1.55it/s]
182
  46%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 119/256 [01:26<01:29, 1.53it/s]
183
  47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 120/256 [01:27<01:27, 1.55it/s]
184
 
185
+
186
  47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 120/256 [01:27<01:27, 1.55it/s]
187
  47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 121/256 [01:28<01:26, 1.57it/s]
188
  48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 122/256 [01:28<01:25, 1.56it/s]
189
  48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 123/256 [01:29<01:26, 1.54it/s]
190
  48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 124/256 [01:30<01:26, 1.53it/s]
191
  49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 125/256 [01:30<01:24, 1.55it/s]
192
  49%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 126/256 [01:31<01:26, 1.51it/s]
193
  50%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 127/256 [01:32<01:25, 1.51it/s]
194
  50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 128/256 [01:32<01:23, 1.54it/s]
195
  50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 129/256 [01:33<01:22, 1.54it/s]
196
  51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 130/256 [01:34<01:23, 1.52it/s]
197
  51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 131/256 [01:34<01:20, 1.55it/s]
198
  52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 132/256 [01:35<01:20, 1.53it/s]
199
  52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 133/256 [01:36<01:21, 1.51it/s]
200
  52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 134/256 [01:36<01:21, 1.50it/s]
201
  53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 135/256 [01:37<01:19, 1.52it/s]
202
  53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 136/256 [01:38<01:17, 1.54it/s]
203
  54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 137/256 [01:38<01:17, 1.54it/s]
204
  54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 138/256 [01:39<01:16, 1.53it/s]
205
  54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 139/256 [01:39<01:16, 1.54it/s]
206
  55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 140/256 [01:40<01:14, 1.56it/s]
207
 
208
+
209
  55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 140/256 [01:40<01:14, 1.56it/s]
210
  55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 141/256 [01:41<01:13, 1.56it/s]
211
  55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 142/256 [01:41<01:14, 1.53it/s]
212
  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 143/256 [01:42<01:14, 1.52it/s]
213
  56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 144/256 [01:43<01:12, 1.55it/s]
214
  57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 145/256 [01:43<01:15, 1.48it/s]
215
  57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 146/256 [01:44<01:16, 1.45it/s]
216
  57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 147/256 [01:45<01:14, 1.47it/s]
217
  58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 148/256 [01:45<01:13, 1.48it/s]
218
  58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 149/256 [01:46<01:11, 1.49it/s]
219
  59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/256 [01:47<01:11, 1.47it/s]
220
  59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 151/256 [01:47<01:09, 1.51it/s]
221
  59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 152/256 [01:48<01:09, 1.50it/s]
222
  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 153/256 [01:49<01:08, 1.51it/s]
223
  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 154/256 [01:49<01:06, 1.53it/s]
224
  61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 155/256 [01:50<01:06, 1.53it/s]
225
  61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 156/256 [01:51<01:04, 1.54it/s]
226
  61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 157/256 [01:51<01:05, 1.51it/s]
227
  62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 158/256 [01:52<01:05, 1.51it/s]
228
  62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 159/256 [01:53<01:04, 1.51it/s]
229
  62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 160/256 [01:53<01:03, 1.52it/s]
230
 
231
+
232
  62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 160/256 [01:53<01:03, 1.52it/s]
233
  63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 161/256 [01:54<01:05, 1.45it/s]
234
  63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 162/256 [01:55<01:05, 1.43it/s]
235
  64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 163/256 [01:56<01:06, 1.39it/s]
236
  64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 164/256 [01:56<01:04, 1.44it/s]
237
  64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 165/256 [01:57<01:02, 1.45it/s]
238
  65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 166/256 [01:58<01:00, 1.48it/s]
239
  65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 167/256 [01:58<01:00, 1.47it/s]
240
  66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 168/256 [01:59<01:02, 1.42it/s]
241
  66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 169/256 [02:00<01:01, 1.41it/s]
242
  66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 170/256 [02:00<00:59, 1.44it/s]
243
  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 171/256 [02:01<00:58, 1.45it/s]
244
  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 172/256 [02:02<00:57, 1.47it/s]
245
  68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 173/256 [02:02<00:55, 1.49it/s]
246
  68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 174/256 [02:03<00:55, 1.49it/s]
sentencepiece.bpe.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f5153b1ce10088a223fadfb3f245aabdd3fee620da1b310fe79a025f9fa64f48
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+ size 791509
special_tokens_map.json ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "ar_AR",
4
+ "cs_CZ",
5
+ "de_DE",
6
+ "en_XX",
7
+ "es_XX",
8
+ "et_EE",
9
+ "fi_FI",
10
+ "fr_XX",
11
+ "gu_IN",
12
+ "hi_IN",
13
+ "it_IT",
14
+ "ja_XX",
15
+ "kk_KZ",
16
+ "ko_KR",
17
+ "lt_LT",
18
+ "lv_LV",
19
+ "my_MM",
20
+ "ne_NP",
21
+ "nl_XX",
22
+ "ro_RO",
23
+ "ru_RU",
24
+ "si_LK",
25
+ "tr_TR",
26
+ "vi_VN",
27
+ "zh_CN",
28
+ "af_ZA",
29
+ "az_AZ",
30
+ "bn_IN",
31
+ "fa_IR",
32
+ "he_IL",
33
+ "hr_HR",
34
+ "id_ID",
35
+ "ka_GE",
36
+ "km_KH",
37
+ "mk_MK",
38
+ "ml_IN",
39
+ "mn_MN",
40
+ "mr_IN",
41
+ "pl_PL",
42
+ "ps_AF",
43
+ "pt_XX",
44
+ "sv_SE",
45
+ "sw_KE",
46
+ "ta_IN",
47
+ "te_IN",
48
+ "th_TH",
49
+ "tl_XX",
50
+ "uk_UA",
51
+ "ur_PK",
52
+ "xh_ZA",
53
+ "gl_ES",
54
+ "sl_SI"
55
+ ],
56
+ "bos_token": "<s>",
57
+ "cls_token": "<s>",
58
+ "eos_token": "</s>",
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+ "mask_token": {
60
+ "content": "<mask>",
61
+ "lstrip": true,
62
+ "normalized": true,
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+ "rstrip": false,
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+ "single_word": false
65
+ },
66
+ "pad_token": "<pad>",
67
+ "sep_token": "</s>",
68
+ "unk_token": "<unk>"
69
+ }
tokenizer_config.json ADDED
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