seastar105
commited on
Training in progress, step 5000
Browse files- .hydra/config.yaml +49 -0
- .hydra/hydra.yaml +169 -0
- .hydra/overrides.yaml +15 -0
- config.json +61 -0
- model.safetensors +3 -0
- tb/events.out.tfevents.1736043901.5f4e103e0ee7 +3 -0
- tiny-test.log +0 -0
- training_args.bin +3 -0
.hydra/config.yaml
ADDED
@@ -0,0 +1,49 @@
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paths:
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root_dir: .
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data_dir: ${paths.root_dir}/data/
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log_dir: ${paths.root_dir}/logs/
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output_dir: ${hydra:runtime.output_dir}
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work_dir: ${hydra:runtime.cwd}
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data_config:
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name: mitermix/audiosnippets
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streaming: true
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audio_key: mp3
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caption_key: caption
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model_config:
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tokenizer_name: openai/whisper-tiny
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model_name: openai/whisper-base
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attn_implementation: flash_attention_2
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name: openai/whisper-tiny
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trainer_config:
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tf32: true
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bf16: true
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+
fp16: false
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dataloader_num_workers: 16
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eval_strategy: 'no'
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+
eval_steps: null
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+
save_strategy: steps
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save_steps: 5000
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save_total_limit: 5
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gradient_checkpointing: false
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gradient_checkpointing_kwargs:
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use_reentrant: false
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ddp_find_unused_parameters: false
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logging_steps: 50
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seed: 998244353
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optim: adamw_torch
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adam_beta1: 0.9
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adam_beta2: 0.98
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max_grad_norm: 1.0
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per_device_train_batch_size: 128
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output_dir: ${paths.output_dir}
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report_to: tensorboard
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logging_dir: ${trainer_config.output_dir}/tb
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lr_scheduler_type: cosine
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learning_rate: 0.0001
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warmup_steps: 5000
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max_steps: 50000
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label_smoothing_factor: 0.0
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push_to_hub: true
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hub_model_id: seastar105/whisper-base-emo-speech-caption
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dataloader_prefetch_factor: 4
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task_name: tiny-test
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.hydra/hydra.yaml
ADDED
@@ -0,0 +1,169 @@
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hydra:
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run:
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dir: ${paths.log_dir}/${task_name}/runs/${now:%Y-%m-%d}_${now:%H-%M-%S}
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sweep:
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5 |
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dir: ${paths.log_dir}/${task_name}/multiruns/${now:%Y-%m-%d}_${now:%H-%M-%S}
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6 |
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subdir: ${hydra.job.num}
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7 |
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launcher:
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8 |
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_target_: hydra._internal.core_plugins.basic_launcher.BasicLauncher
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9 |
+
sweeper:
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10 |
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_target_: hydra._internal.core_plugins.basic_sweeper.BasicSweeper
|
11 |
+
max_batch_size: null
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12 |
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params: null
|
13 |
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help:
|
14 |
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app_name: ${hydra.job.name}
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15 |
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header: '${hydra.help.app_name} is powered by Hydra.
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'
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footer: 'Powered by Hydra (https://hydra.cc)
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Use --hydra-help to view Hydra specific help
|
21 |
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|
22 |
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'
|
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template: '${hydra.help.header}
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24 |
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|
25 |
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== Configuration groups ==
|
26 |
+
|
27 |
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Compose your configuration from those groups (group=option)
|
28 |
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|
29 |
+
|
30 |
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$APP_CONFIG_GROUPS
|
31 |
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|
32 |
+
|
33 |
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== Config ==
|
34 |
+
|
35 |
+
Override anything in the config (foo.bar=value)
|
36 |
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|
37 |
+
|
38 |
+
$CONFIG
|
39 |
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|
40 |
+
|
41 |
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${hydra.help.footer}
|
42 |
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|
43 |
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'
|
44 |
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hydra_help:
|
45 |
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template: 'Hydra (${hydra.runtime.version})
|
46 |
+
|
47 |
+
See https://hydra.cc for more info.
|
48 |
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|
49 |
+
|
50 |
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== Flags ==
|
51 |
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|
52 |
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$FLAGS_HELP
|
53 |
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|
54 |
+
|
55 |
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== Configuration groups ==
|
56 |
+
|
57 |
+
Compose your configuration from those groups (For example, append hydra/job_logging=disabled
|
58 |
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to command line)
|
59 |
+
|
60 |
+
|
61 |
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$HYDRA_CONFIG_GROUPS
|
62 |
+
|
63 |
+
|
64 |
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Use ''--cfg hydra'' to Show the Hydra config.
|
65 |
+
|
66 |
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'
|
67 |
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hydra_help: ???
|
68 |
+
hydra_logging:
|
69 |
+
version: 1
|
70 |
+
formatters:
|
71 |
+
simple:
|
72 |
+
format: '[%(asctime)s][HYDRA] %(message)s'
|
73 |
+
handlers:
|
74 |
+
console:
|
75 |
+
class: logging.StreamHandler
|
76 |
+
formatter: simple
|
77 |
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stream: ext://sys.stdout
|
78 |
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root:
|
79 |
+
level: INFO
|
80 |
+
handlers:
|
81 |
+
- console
|
82 |
+
loggers:
|
83 |
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logging_example:
|
84 |
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level: DEBUG
|
85 |
+
disable_existing_loggers: false
|
86 |
+
job_logging:
|
87 |
+
version: 1
|
88 |
+
formatters:
|
89 |
+
simple:
|
90 |
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format: '[%(asctime)s][%(name)s][%(levelname)s] - %(message)s'
|
91 |
+
handlers:
|
92 |
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console:
|
93 |
+
class: logging.StreamHandler
|
94 |
+
formatter: simple
|
95 |
+
stream: ext://sys.stdout
|
96 |
+
file:
|
97 |
+
class: logging.FileHandler
|
98 |
+
formatter: simple
|
99 |
+
filename: ${hydra.runtime.output_dir}/${task_name}.log
|
100 |
+
root:
|
101 |
+
level: INFO
|
102 |
+
handlers:
|
103 |
+
- console
|
104 |
+
- file
|
105 |
+
disable_existing_loggers: false
|
106 |
+
env: {}
|
107 |
+
mode: RUN
|
108 |
+
searchpath: []
|
109 |
+
callbacks: {}
|
110 |
+
output_subdir: .hydra
|
111 |
+
overrides:
|
112 |
+
hydra:
|
113 |
+
- hydra.mode=RUN
|
114 |
+
task:
|
115 |
+
- model_config.model_name=openai/whisper-base
|
116 |
+
- model_config.attn_implementation=flash_attention_2
|
117 |
+
- data_config.name=mitermix/audiosnippets
|
118 |
+
- data_config.audio_key=mp3
|
119 |
+
- data_config.caption_key=caption
|
120 |
+
- trainer_config.bf16=true
|
121 |
+
- trainer_config.dataloader_num_workers=16
|
122 |
+
- trainer_config.per_device_train_batch_size=128
|
123 |
+
- trainer_config.max_steps=50000
|
124 |
+
- ++trainer_config.push_to_hub=true
|
125 |
+
- ++trainer_config.hub_model_id=seastar105/whisper-base-emo-speech-caption
|
126 |
+
- ++trainer_config.save_total_limit=5
|
127 |
+
- ++trainer_config.save_steps=5000
|
128 |
+
- ++trainer_config.dataloader_prefetch_factor=4
|
129 |
+
- ++trainer_config.warmup_steps=5000
|
130 |
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job:
|
131 |
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name: train
|
132 |
+
chdir: null
|
133 |
+
override_dirname: ++trainer_config.dataloader_prefetch_factor=4,++trainer_config.hub_model_id=seastar105/whisper-base-emo-speech-caption,++trainer_config.push_to_hub=true,++trainer_config.save_steps=5000,++trainer_config.save_total_limit=5,++trainer_config.warmup_steps=5000,data_config.audio_key=mp3,data_config.caption_key=caption,data_config.name=mitermix/audiosnippets,model_config.attn_implementation=flash_attention_2,model_config.model_name=openai/whisper-base,trainer_config.bf16=true,trainer_config.dataloader_num_workers=16,trainer_config.max_steps=50000,trainer_config.per_device_train_batch_size=128
|
134 |
+
id: ???
|
135 |
+
num: ???
|
136 |
+
config_name: main
|
137 |
+
env_set: {}
|
138 |
+
env_copy: []
|
139 |
+
config:
|
140 |
+
override_dirname:
|
141 |
+
kv_sep: '='
|
142 |
+
item_sep: ','
|
143 |
+
exclude_keys: []
|
144 |
+
runtime:
|
145 |
+
version: 1.3.2
|
146 |
+
version_base: '1.3'
|
147 |
+
cwd: /root/audio-caption
|
148 |
+
config_sources:
|
149 |
+
- path: hydra.conf
|
150 |
+
schema: pkg
|
151 |
+
provider: hydra
|
152 |
+
- path: /root/audio-caption/configs
|
153 |
+
schema: file
|
154 |
+
provider: main
|
155 |
+
- path: ''
|
156 |
+
schema: structured
|
157 |
+
provider: schema
|
158 |
+
output_dir: /root/audio-caption/logs/tiny-test/runs/2025-01-05_02-24-57
|
159 |
+
choices:
|
160 |
+
hydra/env: default
|
161 |
+
hydra/callbacks: null
|
162 |
+
hydra/job_logging: default
|
163 |
+
hydra/hydra_logging: default
|
164 |
+
hydra/hydra_help: default
|
165 |
+
hydra/help: default
|
166 |
+
hydra/sweeper: basic
|
167 |
+
hydra/launcher: basic
|
168 |
+
hydra/output: default
|
169 |
+
verbose: false
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.hydra/overrides.yaml
ADDED
@@ -0,0 +1,15 @@
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- model_config.model_name=openai/whisper-base
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2 |
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- model_config.attn_implementation=flash_attention_2
|
3 |
+
- data_config.name=mitermix/audiosnippets
|
4 |
+
- data_config.audio_key=mp3
|
5 |
+
- data_config.caption_key=caption
|
6 |
+
- trainer_config.bf16=true
|
7 |
+
- trainer_config.dataloader_num_workers=16
|
8 |
+
- trainer_config.per_device_train_batch_size=128
|
9 |
+
- trainer_config.max_steps=50000
|
10 |
+
- ++trainer_config.push_to_hub=true
|
11 |
+
- ++trainer_config.hub_model_id=seastar105/whisper-base-emo-speech-caption
|
12 |
+
- ++trainer_config.save_total_limit=5
|
13 |
+
- ++trainer_config.save_steps=5000
|
14 |
+
- ++trainer_config.dataloader_prefetch_factor=4
|
15 |
+
- ++trainer_config.warmup_steps=5000
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config.json
ADDED
@@ -0,0 +1,61 @@
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|
1 |
+
{
|
2 |
+
"_name_or_path": "openai/whisper-base",
|
3 |
+
"activation_dropout": 0.0,
|
4 |
+
"activation_function": "gelu",
|
5 |
+
"apply_spec_augment": false,
|
6 |
+
"architectures": [
|
7 |
+
"WhisperForConditionalGeneration"
|
8 |
+
],
|
9 |
+
"attention_dropout": 0.0,
|
10 |
+
"begin_suppress_tokens": null,
|
11 |
+
"bos_token_id": 50257,
|
12 |
+
"classifier_proj_size": 256,
|
13 |
+
"d_model": 512,
|
14 |
+
"decoder_attention_heads": 8,
|
15 |
+
"decoder_ffn_dim": 2048,
|
16 |
+
"decoder_layerdrop": 0.0,
|
17 |
+
"decoder_layers": 6,
|
18 |
+
"decoder_start_token_id": 50258,
|
19 |
+
"dropout": 0.0,
|
20 |
+
"encoder_attention_heads": 8,
|
21 |
+
"encoder_ffn_dim": 2048,
|
22 |
+
"encoder_layerdrop": 0.0,
|
23 |
+
"encoder_layers": 6,
|
24 |
+
"eos_token_id": 50257,
|
25 |
+
"forced_decoder_ids": [
|
26 |
+
[
|
27 |
+
1,
|
28 |
+
50259
|
29 |
+
],
|
30 |
+
[
|
31 |
+
2,
|
32 |
+
50359
|
33 |
+
],
|
34 |
+
[
|
35 |
+
3,
|
36 |
+
50363
|
37 |
+
]
|
38 |
+
],
|
39 |
+
"init_std": 0.02,
|
40 |
+
"is_encoder_decoder": true,
|
41 |
+
"mask_feature_length": 10,
|
42 |
+
"mask_feature_min_masks": 0,
|
43 |
+
"mask_feature_prob": 0.0,
|
44 |
+
"mask_time_length": 10,
|
45 |
+
"mask_time_min_masks": 2,
|
46 |
+
"mask_time_prob": 0.05,
|
47 |
+
"max_length": null,
|
48 |
+
"max_source_positions": 1500,
|
49 |
+
"max_target_positions": 448,
|
50 |
+
"median_filter_width": 7,
|
51 |
+
"model_type": "whisper",
|
52 |
+
"num_hidden_layers": 6,
|
53 |
+
"num_mel_bins": 80,
|
54 |
+
"pad_token_id": 50257,
|
55 |
+
"scale_embedding": false,
|
56 |
+
"torch_dtype": "float32",
|
57 |
+
"transformers_version": "4.47.1",
|
58 |
+
"use_cache": true,
|
59 |
+
"use_weighted_layer_sum": false,
|
60 |
+
"vocab_size": 51865
|
61 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:be343d994b8f72a0348fa21a10f77df07ab9ceca576dd60a89b564bf7d27b342
|
3 |
+
size 290403936
|
tb/events.out.tfevents.1736043901.5f4e103e0ee7
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c819a6f5bf99b7e21632f0ade49c41334c2002842660403ba6bf1129db993e4f
|
3 |
+
size 27675
|
tiny-test.log
ADDED
File without changes
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:c408606756c80c14750aef57d23effec7e94468930a74be618d0505e2b908948
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3 |
+
size 5432
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