davelotito
commited on
Commit
•
d4cbe3e
1
Parent(s):
371557e
Training in progress, epoch 1
Browse files
config.json
ADDED
@@ -0,0 +1,192 @@
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+
{
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"_name_or_path": "naver-clova-ix/donut-base",
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"architectures": [
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"VisionEncoderDecoderModel"
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],
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"decoder": {
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"_name_or_path": "",
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"activation_function": "gelu",
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"encoder_ffn_dim": 4096,
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"return_dict": true,
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"typical_p": 1.0,
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"use_cache": true,
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"vocab_size": 57533
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},
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"decoder_start_token_id": 0,
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"encoder": {
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"_name_or_path": "",
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"add_cross_attention": false,
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"architectures": null,
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"depths": [
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2,
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14,
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2
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],
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"diversity_penalty": 0.0,
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"do_sample": false,
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"drop_path_rate": 0.1,
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"early_stopping": false,
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"embed_dim": 128,
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119 |
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"hidden_act": "gelu",
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120 |
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"hidden_dropout_prob": 0.0,
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121 |
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"hidden_size": 1024,
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122 |
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"id2label": {
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123 |
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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126 |
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"image_size": [
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960,
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720
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],
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130 |
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"initializer_range": 0.02,
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131 |
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"is_decoder": false,
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132 |
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"is_encoder_decoder": false,
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133 |
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"label2id": {
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134 |
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"LABEL_0": 0,
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135 |
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"LABEL_1": 1
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136 |
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},
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137 |
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"layer_norm_eps": 1e-05,
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138 |
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"length_penalty": 1.0,
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139 |
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"max_length": 20,
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140 |
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"min_length": 0,
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141 |
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"mlp_ratio": 4.0,
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142 |
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"model_type": "donut-swin",
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143 |
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"no_repeat_ngram_size": 0,
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144 |
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"num_beam_groups": 1,
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145 |
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"num_beams": 1,
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146 |
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"num_channels": 3,
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"num_heads": [
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4,
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8,
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16,
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32
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],
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153 |
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"num_layers": 4,
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154 |
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"num_return_sequences": 1,
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155 |
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"output_attentions": false,
|
156 |
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|
157 |
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|
158 |
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|
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"patch_size": 4,
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"path_norm": true,
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161 |
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"prefix": null,
|
162 |
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"pruned_heads": {},
|
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"qkv_bias": true,
|
165 |
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"remove_invalid_values": false,
|
166 |
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"repetition_penalty": 1.0,
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167 |
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"return_dict": true,
|
168 |
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"return_dict_in_generate": false,
|
169 |
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"sep_token_id": null,
|
170 |
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|
171 |
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|
172 |
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173 |
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"tf_legacy_loss": false,
|
174 |
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|
175 |
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"tie_word_embeddings": true,
|
176 |
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"tokenizer_class": null,
|
177 |
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|
178 |
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|
179 |
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|
180 |
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"torchscript": false,
|
181 |
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|
182 |
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|
183 |
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"use_bfloat16": false,
|
184 |
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"window_size": 10
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185 |
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},
|
186 |
+
"is_encoder_decoder": true,
|
187 |
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"model_type": "vision-encoder-decoder",
|
188 |
+
"pad_token_id": 1,
|
189 |
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"tie_word_embeddings": false,
|
190 |
+
"torch_dtype": "float32",
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191 |
+
"transformers_version": "4.40.0"
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192 |
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}
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hyperparameters.yaml
ADDED
@@ -0,0 +1,160 @@
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__cached__setup_devices: !!python/object/apply:torch.device
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- cuda
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3 |
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- 0
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+
_n_gpu: 1
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5 |
+
accelerator_config: !!python/object:transformers.trainer_pt_utils.AcceleratorConfig
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6 |
+
dispatch_batches: null
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7 |
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even_batches: true
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8 |
+
gradient_accumulation_kwargs: null
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9 |
+
split_batches: false
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10 |
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use_seedable_sampler: true
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11 |
+
adafactor: false
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12 |
+
adam_beta1: 0.9
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13 |
+
adam_beta2: 0.999
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14 |
+
adam_epsilon: 1.0e-08
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15 |
+
auto_find_batch_size: false
|
16 |
+
bf16: false
|
17 |
+
bf16_full_eval: false
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18 |
+
data_seed: null
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19 |
+
dataloader_drop_last: false
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20 |
+
dataloader_num_workers: 0
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21 |
+
dataloader_persistent_workers: false
|
22 |
+
dataloader_pin_memory: true
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23 |
+
dataloader_prefetch_factor: null
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24 |
+
ddp_backend: null
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25 |
+
ddp_broadcast_buffers: null
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26 |
+
ddp_bucket_cap_mb: null
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27 |
+
ddp_find_unused_parameters: null
|
28 |
+
ddp_timeout: 1800
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29 |
+
debug: []
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30 |
+
deepspeed: null
|
31 |
+
deepspeed_plugin: null
|
32 |
+
disable_tqdm: false
|
33 |
+
dispatch_batches: null
|
34 |
+
distributed_state: !!python/object:accelerate.state.PartialState
|
35 |
+
_cpu: false
|
36 |
+
backend: null
|
37 |
+
debug: false
|
38 |
+
device: !!python/object/apply:torch.device
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39 |
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- cuda
|
40 |
+
distributed_type: !!python/object/apply:accelerate.utils.dataclasses.DistributedType
|
41 |
+
- 'NO'
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42 |
+
fork_launched: false
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43 |
+
local_process_index: 0
|
44 |
+
num_processes: 1
|
45 |
+
process_index: 0
|
46 |
+
do_eval: true
|
47 |
+
do_predict: false
|
48 |
+
do_train: false
|
49 |
+
eval_accumulation_steps: null
|
50 |
+
eval_delay: 0
|
51 |
+
eval_do_concat_batches: true
|
52 |
+
eval_steps: null
|
53 |
+
evaluation_strategy: !!python/object/apply:transformers.trainer_utils.IntervalStrategy
|
54 |
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- epoch
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55 |
+
fp16: true
|
56 |
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fp16_backend: auto
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57 |
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fp16_full_eval: false
|
58 |
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fp16_opt_level: O1
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59 |
+
fsdp: []
|
60 |
+
fsdp_config:
|
61 |
+
min_num_params: 0
|
62 |
+
xla: false
|
63 |
+
xla_fsdp_grad_ckpt: false
|
64 |
+
xla_fsdp_v2: false
|
65 |
+
fsdp_min_num_params: 0
|
66 |
+
fsdp_transformer_layer_cls_to_wrap: null
|
67 |
+
full_determinism: false
|
68 |
+
generation_config: null
|
69 |
+
generation_max_length: null
|
70 |
+
generation_num_beams: null
|
71 |
+
gradient_accumulation_steps: 2
|
72 |
+
gradient_checkpointing: false
|
73 |
+
gradient_checkpointing_kwargs: null
|
74 |
+
greater_is_better: false
|
75 |
+
group_by_length: false
|
76 |
+
half_precision_backend: auto
|
77 |
+
hub_always_push: false
|
78 |
+
hub_model_id: donut_experiment_22
|
79 |
+
hub_private_repo: false
|
80 |
+
hub_strategy: !!python/object/apply:transformers.trainer_utils.HubStrategy
|
81 |
+
- every_save
|
82 |
+
hub_token: null
|
83 |
+
ignore_data_skip: false
|
84 |
+
include_inputs_for_metrics: false
|
85 |
+
include_num_input_tokens_seen: false
|
86 |
+
include_tokens_per_second: false
|
87 |
+
jit_mode_eval: false
|
88 |
+
label_names: null
|
89 |
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label_smoothing_factor: 0.0
|
90 |
+
learning_rate: 2.0e-05
|
91 |
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length_column_name: length
|
92 |
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load_best_model_at_end: true
|
93 |
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local_rank: 0
|
94 |
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log_level: passive
|
95 |
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log_level_replica: warning
|
96 |
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log_on_each_node: true
|
97 |
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logging_dir: model_runs/donut_experiment_22/runs/Jul12_17-01-45_ip-172-16-163-175.ec2.internal
|
98 |
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logging_first_step: false
|
99 |
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logging_nan_inf_filter: true
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100 |
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logging_steps: 100
|
101 |
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logging_strategy: !!python/object/apply:transformers.trainer_utils.IntervalStrategy
|
102 |
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- steps
|
103 |
+
lr_scheduler_kwargs: {}
|
104 |
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lr_scheduler_type: !!python/object/apply:transformers.trainer_utils.SchedulerType
|
105 |
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- linear
|
106 |
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max_grad_norm: 1.0
|
107 |
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max_steps: -1
|
108 |
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metric_for_best_model: loss
|
109 |
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mp_parameters: ''
|
110 |
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neftune_noise_alpha: null
|
111 |
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no_cuda: false
|
112 |
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num_train_epochs: 4
|
113 |
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optim: !!python/object/apply:transformers.training_args.OptimizerNames
|
114 |
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- adamw_torch
|
115 |
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optim_args: null
|
116 |
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optim_target_modules: null
|
117 |
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output_dir: model_runs/donut_experiment_22
|
118 |
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overwrite_output_dir: false
|
119 |
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|
120 |
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|
121 |
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|
122 |
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|
123 |
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|
124 |
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|
125 |
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|
126 |
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|
127 |
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|
128 |
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|
129 |
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push_to_hub_token: null
|
130 |
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ray_scope: last
|
131 |
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remove_unused_columns: true
|
132 |
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report_to:
|
133 |
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- tensorboard
|
134 |
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|
135 |
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run_name: model_runs/donut_experiment_22
|
136 |
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save_on_each_node: false
|
137 |
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save_only_model: false
|
138 |
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save_safetensors: true
|
139 |
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save_steps: 500
|
140 |
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save_strategy: !!python/object/apply:transformers.trainer_utils.IntervalStrategy
|
141 |
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- epoch
|
142 |
+
save_total_limit: 2
|
143 |
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seed: 42
|
144 |
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skip_memory_metrics: true
|
145 |
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|
146 |
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split_batches: null
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147 |
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tf32: null
|
148 |
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torch_compile: false
|
149 |
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torch_compile_backend: null
|
150 |
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torch_compile_mode: null
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151 |
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torchdynamo: null
|
152 |
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|
153 |
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154 |
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|
155 |
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|
156 |
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|
157 |
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|
158 |
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|
159 |
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|
160 |
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weight_decay: 0.01
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metrics.jsonl
ADDED
@@ -0,0 +1 @@
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|
1 |
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{"eval_loss": 0.5610009431838989, "eval_bleu": 0.054783616047964355, "eval_precisions": [0.7240663900414938, 0.611764705882353, 0.5543478260869565, 0.49517684887459806], "eval_brevity_penalty": 0.09277358157754431, "eval_length_ratio": 0.29606879606879605, "eval_translation_length": 482, "eval_reference_length": 1628, "eval_cer": 0.7706565338814341, "eval_wer": 0.8504490354508243, "eval_runtime": 185.004, "eval_samples_per_second": 0.308, "eval_steps_per_second": 0.308, "epoch": 1.0}
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model.safetensors
ADDED
@@ -0,0 +1,3 @@
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runs/Jul12_17-01-45_ip-172-16-163-175.ec2.internal/events.out.tfevents.1720803708.ip-172-16-163-175.ec2.internal.16738.0
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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