Training in progress, step 4000, checkpoint
Browse files- checkpoint-4000/config.json +65 -0
- checkpoint-4000/generation_config.json +265 -0
- checkpoint-4000/model.safetensors +3 -0
- checkpoint-4000/optimizer.pt +3 -0
- checkpoint-4000/preprocessor_config.json +14 -0
- checkpoint-4000/rng_state.pth +3 -0
- checkpoint-4000/scheduler.pt +3 -0
- checkpoint-4000/trainer_state.json +1213 -0
- checkpoint-4000/training_args.bin +3 -0
checkpoint-4000/config.json
ADDED
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "AsemBadr/final-whisper-for-initial-publish",
|
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": [
|
11 |
+
220,
|
12 |
+
50257
|
13 |
+
],
|
14 |
+
"bos_token_id": 50257,
|
15 |
+
"classifier_proj_size": 256,
|
16 |
+
"d_model": 768,
|
17 |
+
"decoder_attention_heads": 12,
|
18 |
+
"decoder_ffn_dim": 3072,
|
19 |
+
"decoder_layerdrop": 0.0,
|
20 |
+
"decoder_layers": 12,
|
21 |
+
"decoder_start_token_id": 50258,
|
22 |
+
"dropout": 0.0,
|
23 |
+
"encoder_attention_heads": 12,
|
24 |
+
"encoder_ffn_dim": 3072,
|
25 |
+
"encoder_layerdrop": 0.0,
|
26 |
+
"encoder_layers": 12,
|
27 |
+
"eos_token_id": 50257,
|
28 |
+
"forced_decoder_ids": [
|
29 |
+
[
|
30 |
+
1,
|
31 |
+
50272
|
32 |
+
],
|
33 |
+
[
|
34 |
+
2,
|
35 |
+
50359
|
36 |
+
],
|
37 |
+
[
|
38 |
+
3,
|
39 |
+
50363
|
40 |
+
]
|
41 |
+
],
|
42 |
+
"init_std": 0.02,
|
43 |
+
"is_encoder_decoder": true,
|
44 |
+
"mask_feature_length": 10,
|
45 |
+
"mask_feature_min_masks": 0,
|
46 |
+
"mask_feature_prob": 0.0,
|
47 |
+
"mask_time_length": 10,
|
48 |
+
"mask_time_min_masks": 2,
|
49 |
+
"mask_time_prob": 0.05,
|
50 |
+
"max_length": 448,
|
51 |
+
"max_source_positions": 1500,
|
52 |
+
"max_target_positions": 448,
|
53 |
+
"median_filter_width": 7,
|
54 |
+
"model_type": "whisper",
|
55 |
+
"num_hidden_layers": 12,
|
56 |
+
"num_mel_bins": 80,
|
57 |
+
"pad_token_id": 50257,
|
58 |
+
"scale_embedding": false,
|
59 |
+
"suppress_tokens": [],
|
60 |
+
"torch_dtype": "float32",
|
61 |
+
"transformers_version": "4.41.0.dev0",
|
62 |
+
"use_cache": true,
|
63 |
+
"use_weighted_layer_sum": false,
|
64 |
+
"vocab_size": 51865
|
65 |
+
}
|
checkpoint-4000/generation_config.json
ADDED
@@ -0,0 +1,265 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alignment_heads": [
|
3 |
+
[
|
4 |
+
5,
|
5 |
+
3
|
6 |
+
],
|
7 |
+
[
|
8 |
+
5,
|
9 |
+
9
|
10 |
+
],
|
11 |
+
[
|
12 |
+
8,
|
13 |
+
0
|
14 |
+
],
|
15 |
+
[
|
16 |
+
8,
|
17 |
+
4
|
18 |
+
],
|
19 |
+
[
|
20 |
+
8,
|
21 |
+
7
|
22 |
+
],
|
23 |
+
[
|
24 |
+
8,
|
25 |
+
8
|
26 |
+
],
|
27 |
+
[
|
28 |
+
9,
|
29 |
+
0
|
30 |
+
],
|
31 |
+
[
|
32 |
+
9,
|
33 |
+
7
|
34 |
+
],
|
35 |
+
[
|
36 |
+
9,
|
37 |
+
9
|
38 |
+
],
|
39 |
+
[
|
40 |
+
10,
|
41 |
+
5
|
42 |
+
]
|
43 |
+
],
|
44 |
+
"begin_suppress_tokens": [
|
45 |
+
220,
|
46 |
+
50257
|
47 |
+
],
|
48 |
+
"bos_token_id": 50257,
|
49 |
+
"decoder_start_token_id": 50258,
|
50 |
+
"eos_token_id": 50257,
|
51 |
+
"forced_decoder_ids": [
|
52 |
+
[
|
53 |
+
1,
|
54 |
+
null
|
55 |
+
],
|
56 |
+
[
|
57 |
+
2,
|
58 |
+
50359
|
59 |
+
]
|
60 |
+
],
|
61 |
+
"is_multilingual": true,
|
62 |
+
"lang_to_id": {
|
63 |
+
"<|af|>": 50327,
|
64 |
+
"<|am|>": 50334,
|
65 |
+
"<|ar|>": 50272,
|
66 |
+
"<|as|>": 50350,
|
67 |
+
"<|az|>": 50304,
|
68 |
+
"<|ba|>": 50355,
|
69 |
+
"<|be|>": 50330,
|
70 |
+
"<|bg|>": 50292,
|
71 |
+
"<|bn|>": 50302,
|
72 |
+
"<|bo|>": 50347,
|
73 |
+
"<|br|>": 50309,
|
74 |
+
"<|bs|>": 50315,
|
75 |
+
"<|ca|>": 50270,
|
76 |
+
"<|cs|>": 50283,
|
77 |
+
"<|cy|>": 50297,
|
78 |
+
"<|da|>": 50285,
|
79 |
+
"<|de|>": 50261,
|
80 |
+
"<|el|>": 50281,
|
81 |
+
"<|en|>": 50259,
|
82 |
+
"<|es|>": 50262,
|
83 |
+
"<|et|>": 50307,
|
84 |
+
"<|eu|>": 50310,
|
85 |
+
"<|fa|>": 50300,
|
86 |
+
"<|fi|>": 50277,
|
87 |
+
"<|fo|>": 50338,
|
88 |
+
"<|fr|>": 50265,
|
89 |
+
"<|gl|>": 50319,
|
90 |
+
"<|gu|>": 50333,
|
91 |
+
"<|haw|>": 50352,
|
92 |
+
"<|ha|>": 50354,
|
93 |
+
"<|he|>": 50279,
|
94 |
+
"<|hi|>": 50276,
|
95 |
+
"<|hr|>": 50291,
|
96 |
+
"<|ht|>": 50339,
|
97 |
+
"<|hu|>": 50286,
|
98 |
+
"<|hy|>": 50312,
|
99 |
+
"<|id|>": 50275,
|
100 |
+
"<|is|>": 50311,
|
101 |
+
"<|it|>": 50274,
|
102 |
+
"<|ja|>": 50266,
|
103 |
+
"<|jw|>": 50356,
|
104 |
+
"<|ka|>": 50329,
|
105 |
+
"<|kk|>": 50316,
|
106 |
+
"<|km|>": 50323,
|
107 |
+
"<|kn|>": 50306,
|
108 |
+
"<|ko|>": 50264,
|
109 |
+
"<|la|>": 50294,
|
110 |
+
"<|lb|>": 50345,
|
111 |
+
"<|ln|>": 50353,
|
112 |
+
"<|lo|>": 50336,
|
113 |
+
"<|lt|>": 50293,
|
114 |
+
"<|lv|>": 50301,
|
115 |
+
"<|mg|>": 50349,
|
116 |
+
"<|mi|>": 50295,
|
117 |
+
"<|mk|>": 50308,
|
118 |
+
"<|ml|>": 50296,
|
119 |
+
"<|mn|>": 50314,
|
120 |
+
"<|mr|>": 50320,
|
121 |
+
"<|ms|>": 50282,
|
122 |
+
"<|mt|>": 50343,
|
123 |
+
"<|my|>": 50346,
|
124 |
+
"<|ne|>": 50313,
|
125 |
+
"<|nl|>": 50271,
|
126 |
+
"<|nn|>": 50342,
|
127 |
+
"<|no|>": 50288,
|
128 |
+
"<|oc|>": 50328,
|
129 |
+
"<|pa|>": 50321,
|
130 |
+
"<|pl|>": 50269,
|
131 |
+
"<|ps|>": 50340,
|
132 |
+
"<|pt|>": 50267,
|
133 |
+
"<|ro|>": 50284,
|
134 |
+
"<|ru|>": 50263,
|
135 |
+
"<|sa|>": 50344,
|
136 |
+
"<|sd|>": 50332,
|
137 |
+
"<|si|>": 50322,
|
138 |
+
"<|sk|>": 50298,
|
139 |
+
"<|sl|>": 50305,
|
140 |
+
"<|sn|>": 50324,
|
141 |
+
"<|so|>": 50326,
|
142 |
+
"<|sq|>": 50317,
|
143 |
+
"<|sr|>": 50303,
|
144 |
+
"<|su|>": 50357,
|
145 |
+
"<|sv|>": 50273,
|
146 |
+
"<|sw|>": 50318,
|
147 |
+
"<|ta|>": 50287,
|
148 |
+
"<|te|>": 50299,
|
149 |
+
"<|tg|>": 50331,
|
150 |
+
"<|th|>": 50289,
|
151 |
+
"<|tk|>": 50341,
|
152 |
+
"<|tl|>": 50348,
|
153 |
+
"<|tr|>": 50268,
|
154 |
+
"<|tt|>": 50351,
|
155 |
+
"<|uk|>": 50280,
|
156 |
+
"<|ur|>": 50290,
|
157 |
+
"<|uz|>": 50337,
|
158 |
+
"<|vi|>": 50278,
|
159 |
+
"<|yi|>": 50335,
|
160 |
+
"<|yo|>": 50325,
|
161 |
+
"<|zh|>": 50260
|
162 |
+
},
|
163 |
+
"language": "ar",
|
164 |
+
"max_initial_timestamp_index": 50,
|
165 |
+
"max_length": 448,
|
166 |
+
"no_timestamps_token_id": 50363,
|
167 |
+
"pad_token_id": 50257,
|
168 |
+
"prev_sot_token_id": 50361,
|
169 |
+
"return_timestamps": false,
|
170 |
+
"suppress_tokens": [
|
171 |
+
1,
|
172 |
+
2,
|
173 |
+
7,
|
174 |
+
8,
|
175 |
+
9,
|
176 |
+
10,
|
177 |
+
14,
|
178 |
+
25,
|
179 |
+
26,
|
180 |
+
27,
|
181 |
+
28,
|
182 |
+
29,
|
183 |
+
31,
|
184 |
+
58,
|
185 |
+
59,
|
186 |
+
60,
|
187 |
+
61,
|
188 |
+
62,
|
189 |
+
63,
|
190 |
+
90,
|
191 |
+
91,
|
192 |
+
92,
|
193 |
+
93,
|
194 |
+
359,
|
195 |
+
503,
|
196 |
+
522,
|
197 |
+
542,
|
198 |
+
873,
|
199 |
+
893,
|
200 |
+
902,
|
201 |
+
918,
|
202 |
+
922,
|
203 |
+
931,
|
204 |
+
1350,
|
205 |
+
1853,
|
206 |
+
1982,
|
207 |
+
2460,
|
208 |
+
2627,
|
209 |
+
3246,
|
210 |
+
3253,
|
211 |
+
3268,
|
212 |
+
3536,
|
213 |
+
3846,
|
214 |
+
3961,
|
215 |
+
4183,
|
216 |
+
4667,
|
217 |
+
6585,
|
218 |
+
6647,
|
219 |
+
7273,
|
220 |
+
9061,
|
221 |
+
9383,
|
222 |
+
10428,
|
223 |
+
10929,
|
224 |
+
11938,
|
225 |
+
12033,
|
226 |
+
12331,
|
227 |
+
12562,
|
228 |
+
13793,
|
229 |
+
14157,
|
230 |
+
14635,
|
231 |
+
15265,
|
232 |
+
15618,
|
233 |
+
16553,
|
234 |
+
16604,
|
235 |
+
18362,
|
236 |
+
18956,
|
237 |
+
20075,
|
238 |
+
21675,
|
239 |
+
22520,
|
240 |
+
26130,
|
241 |
+
26161,
|
242 |
+
26435,
|
243 |
+
28279,
|
244 |
+
29464,
|
245 |
+
31650,
|
246 |
+
32302,
|
247 |
+
32470,
|
248 |
+
36865,
|
249 |
+
42863,
|
250 |
+
47425,
|
251 |
+
49870,
|
252 |
+
50254,
|
253 |
+
50258,
|
254 |
+
50358,
|
255 |
+
50359,
|
256 |
+
50360,
|
257 |
+
50361,
|
258 |
+
50362
|
259 |
+
],
|
260 |
+
"task_to_id": {
|
261 |
+
"transcribe": 50359,
|
262 |
+
"translate": 50358
|
263 |
+
},
|
264 |
+
"transformers_version": "4.41.0.dev0"
|
265 |
+
}
|
checkpoint-4000/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b96e1680646a975127fe71ed0358bb48575987e3ca8273f40d60fb58bb17b544
|
3 |
+
size 966995080
|
checkpoint-4000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:10d6573767a19c151d3b5de51ce95f6b85edbea0754ec85b9aea6b0e8d0187e3
|
3 |
+
size 1925064044
|
checkpoint-4000/preprocessor_config.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"chunk_length": 30,
|
3 |
+
"feature_extractor_type": "WhisperFeatureExtractor",
|
4 |
+
"feature_size": 80,
|
5 |
+
"hop_length": 160,
|
6 |
+
"n_fft": 400,
|
7 |
+
"n_samples": 480000,
|
8 |
+
"nb_max_frames": 3000,
|
9 |
+
"padding_side": "right",
|
10 |
+
"padding_value": 0.0,
|
11 |
+
"processor_class": "WhisperProcessor",
|
12 |
+
"return_attention_mask": false,
|
13 |
+
"sampling_rate": 16000
|
14 |
+
}
|
checkpoint-4000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:456379482b9fe889ed9ab28270051e13ea2d60dd3f35a89c008298ca4e8e4bbc
|
3 |
+
size 14244
|
checkpoint-4000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9f402e309f34a85fdf6046dc7dcd92ff0c9f5114f4b796f53f91d3f3713d918c
|
3 |
+
size 1064
|
checkpoint-4000/trainer_state.json
ADDED
@@ -0,0 +1,1213 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 2.4236774644604986,
|
3 |
+
"best_model_checkpoint": "./final-whisper-for-initial-publish/checkpoint-3000",
|
4 |
+
"epoch": 6.589785831960461,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 4000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.04118616144975288,
|
13 |
+
"grad_norm": 67.08393096923828,
|
14 |
+
"learning_rate": 4.2000000000000006e-07,
|
15 |
+
"loss": 2.8367,
|
16 |
+
"step": 25
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.08237232289950576,
|
20 |
+
"grad_norm": 17.447174072265625,
|
21 |
+
"learning_rate": 9.200000000000001e-07,
|
22 |
+
"loss": 2.0282,
|
23 |
+
"step": 50
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.12355848434925865,
|
27 |
+
"grad_norm": 12.4807710647583,
|
28 |
+
"learning_rate": 1.42e-06,
|
29 |
+
"loss": 1.3152,
|
30 |
+
"step": 75
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.16474464579901152,
|
34 |
+
"grad_norm": 8.900789260864258,
|
35 |
+
"learning_rate": 1.9200000000000003e-06,
|
36 |
+
"loss": 0.7248,
|
37 |
+
"step": 100
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.20593080724876442,
|
41 |
+
"grad_norm": 7.897016525268555,
|
42 |
+
"learning_rate": 2.42e-06,
|
43 |
+
"loss": 0.5731,
|
44 |
+
"step": 125
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.2471169686985173,
|
48 |
+
"grad_norm": 9.260579109191895,
|
49 |
+
"learning_rate": 2.92e-06,
|
50 |
+
"loss": 0.474,
|
51 |
+
"step": 150
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.2883031301482702,
|
55 |
+
"grad_norm": 6.941812515258789,
|
56 |
+
"learning_rate": 3.4200000000000007e-06,
|
57 |
+
"loss": 0.4304,
|
58 |
+
"step": 175
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.32948929159802304,
|
62 |
+
"grad_norm": 6.919547080993652,
|
63 |
+
"learning_rate": 3.920000000000001e-06,
|
64 |
+
"loss": 0.3514,
|
65 |
+
"step": 200
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.37067545304777594,
|
69 |
+
"grad_norm": 6.444908618927002,
|
70 |
+
"learning_rate": 4.42e-06,
|
71 |
+
"loss": 0.273,
|
72 |
+
"step": 225
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.41186161449752884,
|
76 |
+
"grad_norm": 5.828249454498291,
|
77 |
+
"learning_rate": 4.92e-06,
|
78 |
+
"loss": 0.1655,
|
79 |
+
"step": 250
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.45304777594728174,
|
83 |
+
"grad_norm": 2.492833137512207,
|
84 |
+
"learning_rate": 5.420000000000001e-06,
|
85 |
+
"loss": 0.0894,
|
86 |
+
"step": 275
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.4942339373970346,
|
90 |
+
"grad_norm": 3.24698805809021,
|
91 |
+
"learning_rate": 5.92e-06,
|
92 |
+
"loss": 0.076,
|
93 |
+
"step": 300
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.5354200988467874,
|
97 |
+
"grad_norm": 4.378988265991211,
|
98 |
+
"learning_rate": 6.42e-06,
|
99 |
+
"loss": 0.0763,
|
100 |
+
"step": 325
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.5766062602965404,
|
104 |
+
"grad_norm": 3.146955728530884,
|
105 |
+
"learning_rate": 6.92e-06,
|
106 |
+
"loss": 0.0679,
|
107 |
+
"step": 350
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.6177924217462932,
|
111 |
+
"grad_norm": 3.8782553672790527,
|
112 |
+
"learning_rate": 7.420000000000001e-06,
|
113 |
+
"loss": 0.0524,
|
114 |
+
"step": 375
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.6589785831960461,
|
118 |
+
"grad_norm": 6.15730094909668,
|
119 |
+
"learning_rate": 7.92e-06,
|
120 |
+
"loss": 0.0554,
|
121 |
+
"step": 400
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.700164744645799,
|
125 |
+
"grad_norm": 6.1213812828063965,
|
126 |
+
"learning_rate": 8.42e-06,
|
127 |
+
"loss": 0.0535,
|
128 |
+
"step": 425
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.7413509060955519,
|
132 |
+
"grad_norm": 4.010768890380859,
|
133 |
+
"learning_rate": 8.920000000000001e-06,
|
134 |
+
"loss": 0.0465,
|
135 |
+
"step": 450
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.7825370675453048,
|
139 |
+
"grad_norm": 3.509321451187134,
|
140 |
+
"learning_rate": 9.42e-06,
|
141 |
+
"loss": 0.0436,
|
142 |
+
"step": 475
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.8237232289950577,
|
146 |
+
"grad_norm": 2.744082450866699,
|
147 |
+
"learning_rate": 9.920000000000002e-06,
|
148 |
+
"loss": 0.0468,
|
149 |
+
"step": 500
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.8237232289950577,
|
153 |
+
"eval_loss": 0.04186907038092613,
|
154 |
+
"eval_runtime": 1739.4189,
|
155 |
+
"eval_samples_per_second": 1.395,
|
156 |
+
"eval_steps_per_second": 0.175,
|
157 |
+
"eval_wer": 10.859939408063388,
|
158 |
+
"step": 500
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.8649093904448105,
|
162 |
+
"grad_norm": 2.581739664077759,
|
163 |
+
"learning_rate": 9.953333333333333e-06,
|
164 |
+
"loss": 0.0387,
|
165 |
+
"step": 525
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.9060955518945635,
|
169 |
+
"grad_norm": 1.7439745664596558,
|
170 |
+
"learning_rate": 9.89777777777778e-06,
|
171 |
+
"loss": 0.0372,
|
172 |
+
"step": 550
|
173 |
+
},
|
174 |
+
{
|
175 |
+
"epoch": 0.9472817133443163,
|
176 |
+
"grad_norm": 3.0741066932678223,
|
177 |
+
"learning_rate": 9.842222222222223e-06,
|
178 |
+
"loss": 0.0344,
|
179 |
+
"step": 575
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 0.9884678747940692,
|
183 |
+
"grad_norm": 2.640840530395508,
|
184 |
+
"learning_rate": 9.786666666666667e-06,
|
185 |
+
"loss": 0.0331,
|
186 |
+
"step": 600
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 1.029654036243822,
|
190 |
+
"grad_norm": 0.908171534538269,
|
191 |
+
"learning_rate": 9.731111111111113e-06,
|
192 |
+
"loss": 0.0267,
|
193 |
+
"step": 625
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 1.0708401976935749,
|
197 |
+
"grad_norm": 1.0449379682540894,
|
198 |
+
"learning_rate": 9.675555555555555e-06,
|
199 |
+
"loss": 0.0203,
|
200 |
+
"step": 650
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 1.112026359143328,
|
204 |
+
"grad_norm": 2.090158700942993,
|
205 |
+
"learning_rate": 9.620000000000001e-06,
|
206 |
+
"loss": 0.0185,
|
207 |
+
"step": 675
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 1.1532125205930808,
|
211 |
+
"grad_norm": 3.4184322357177734,
|
212 |
+
"learning_rate": 9.564444444444445e-06,
|
213 |
+
"loss": 0.0226,
|
214 |
+
"step": 700
|
215 |
+
},
|
216 |
+
{
|
217 |
+
"epoch": 1.1943986820428336,
|
218 |
+
"grad_norm": 2.6463236808776855,
|
219 |
+
"learning_rate": 9.508888888888889e-06,
|
220 |
+
"loss": 0.0155,
|
221 |
+
"step": 725
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 1.2355848434925865,
|
225 |
+
"grad_norm": 0.7438070774078369,
|
226 |
+
"learning_rate": 9.453333333333335e-06,
|
227 |
+
"loss": 0.0184,
|
228 |
+
"step": 750
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"epoch": 1.2767710049423393,
|
232 |
+
"grad_norm": 1.7319138050079346,
|
233 |
+
"learning_rate": 9.397777777777779e-06,
|
234 |
+
"loss": 0.0161,
|
235 |
+
"step": 775
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 1.3179571663920924,
|
239 |
+
"grad_norm": 1.9704327583312988,
|
240 |
+
"learning_rate": 9.342222222222223e-06,
|
241 |
+
"loss": 0.0137,
|
242 |
+
"step": 800
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 1.3591433278418452,
|
246 |
+
"grad_norm": 1.808190107345581,
|
247 |
+
"learning_rate": 9.286666666666667e-06,
|
248 |
+
"loss": 0.0169,
|
249 |
+
"step": 825
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 1.400329489291598,
|
253 |
+
"grad_norm": 2.1106882095336914,
|
254 |
+
"learning_rate": 9.231111111111111e-06,
|
255 |
+
"loss": 0.0141,
|
256 |
+
"step": 850
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 1.441515650741351,
|
260 |
+
"grad_norm": 1.5317939519882202,
|
261 |
+
"learning_rate": 9.175555555555557e-06,
|
262 |
+
"loss": 0.0114,
|
263 |
+
"step": 875
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 1.4827018121911038,
|
267 |
+
"grad_norm": 2.758979082107544,
|
268 |
+
"learning_rate": 9.12e-06,
|
269 |
+
"loss": 0.0123,
|
270 |
+
"step": 900
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 1.5238879736408566,
|
274 |
+
"grad_norm": 2.9624338150024414,
|
275 |
+
"learning_rate": 9.064444444444447e-06,
|
276 |
+
"loss": 0.014,
|
277 |
+
"step": 925
|
278 |
+
},
|
279 |
+
{
|
280 |
+
"epoch": 1.5650741350906094,
|
281 |
+
"grad_norm": 2.520521402359009,
|
282 |
+
"learning_rate": 9.008888888888889e-06,
|
283 |
+
"loss": 0.0107,
|
284 |
+
"step": 950
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 1.6062602965403623,
|
288 |
+
"grad_norm": 1.0015959739685059,
|
289 |
+
"learning_rate": 8.953333333333335e-06,
|
290 |
+
"loss": 0.0111,
|
291 |
+
"step": 975
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 1.6474464579901154,
|
295 |
+
"grad_norm": 2.2675178050994873,
|
296 |
+
"learning_rate": 8.897777777777779e-06,
|
297 |
+
"loss": 0.0124,
|
298 |
+
"step": 1000
|
299 |
+
},
|
300 |
+
{
|
301 |
+
"epoch": 1.6474464579901154,
|
302 |
+
"eval_loss": 0.02125450409948826,
|
303 |
+
"eval_runtime": 1730.2385,
|
304 |
+
"eval_samples_per_second": 1.403,
|
305 |
+
"eval_steps_per_second": 0.176,
|
306 |
+
"eval_wer": 5.243532975996271,
|
307 |
+
"step": 1000
|
308 |
+
},
|
309 |
+
{
|
310 |
+
"epoch": 1.6886326194398682,
|
311 |
+
"grad_norm": 1.1241651773452759,
|
312 |
+
"learning_rate": 8.842222222222223e-06,
|
313 |
+
"loss": 0.0108,
|
314 |
+
"step": 1025
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 1.729818780889621,
|
318 |
+
"grad_norm": 0.9443243145942688,
|
319 |
+
"learning_rate": 8.786666666666668e-06,
|
320 |
+
"loss": 0.01,
|
321 |
+
"step": 1050
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 1.771004942339374,
|
325 |
+
"grad_norm": 1.7507250308990479,
|
326 |
+
"learning_rate": 8.73111111111111e-06,
|
327 |
+
"loss": 0.0108,
|
328 |
+
"step": 1075
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 1.812191103789127,
|
332 |
+
"grad_norm": 0.8334024548530579,
|
333 |
+
"learning_rate": 8.675555555555556e-06,
|
334 |
+
"loss": 0.0108,
|
335 |
+
"step": 1100
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 1.8533772652388798,
|
339 |
+
"grad_norm": 2.0746381282806396,
|
340 |
+
"learning_rate": 8.62e-06,
|
341 |
+
"loss": 0.009,
|
342 |
+
"step": 1125
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 1.8945634266886326,
|
346 |
+
"grad_norm": 1.5471493005752563,
|
347 |
+
"learning_rate": 8.564444444444445e-06,
|
348 |
+
"loss": 0.0124,
|
349 |
+
"step": 1150
|
350 |
+
},
|
351 |
+
{
|
352 |
+
"epoch": 1.9357495881383855,
|
353 |
+
"grad_norm": 1.4362578392028809,
|
354 |
+
"learning_rate": 8.50888888888889e-06,
|
355 |
+
"loss": 0.009,
|
356 |
+
"step": 1175
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 1.9769357495881383,
|
360 |
+
"grad_norm": 1.5219734907150269,
|
361 |
+
"learning_rate": 8.453333333333334e-06,
|
362 |
+
"loss": 0.0108,
|
363 |
+
"step": 1200
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 2.018121911037891,
|
367 |
+
"grad_norm": 0.7635548710823059,
|
368 |
+
"learning_rate": 8.397777777777778e-06,
|
369 |
+
"loss": 0.0069,
|
370 |
+
"step": 1225
|
371 |
+
},
|
372 |
+
{
|
373 |
+
"epoch": 2.059308072487644,
|
374 |
+
"grad_norm": 0.622107982635498,
|
375 |
+
"learning_rate": 8.342222222222222e-06,
|
376 |
+
"loss": 0.0045,
|
377 |
+
"step": 1250
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 2.100494233937397,
|
381 |
+
"grad_norm": 3.157203197479248,
|
382 |
+
"learning_rate": 8.286666666666668e-06,
|
383 |
+
"loss": 0.0055,
|
384 |
+
"step": 1275
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 2.1416803953871497,
|
388 |
+
"grad_norm": 0.8712319731712341,
|
389 |
+
"learning_rate": 8.231111111111112e-06,
|
390 |
+
"loss": 0.0025,
|
391 |
+
"step": 1300
|
392 |
+
},
|
393 |
+
{
|
394 |
+
"epoch": 2.182866556836903,
|
395 |
+
"grad_norm": 0.7438367605209351,
|
396 |
+
"learning_rate": 8.175555555555556e-06,
|
397 |
+
"loss": 0.0038,
|
398 |
+
"step": 1325
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 2.224052718286656,
|
402 |
+
"grad_norm": 0.4088328778743744,
|
403 |
+
"learning_rate": 8.120000000000002e-06,
|
404 |
+
"loss": 0.004,
|
405 |
+
"step": 1350
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 2.2652388797364087,
|
409 |
+
"grad_norm": 0.34847044944763184,
|
410 |
+
"learning_rate": 8.064444444444444e-06,
|
411 |
+
"loss": 0.003,
|
412 |
+
"step": 1375
|
413 |
+
},
|
414 |
+
{
|
415 |
+
"epoch": 2.3064250411861615,
|
416 |
+
"grad_norm": 0.08477868884801865,
|
417 |
+
"learning_rate": 8.00888888888889e-06,
|
418 |
+
"loss": 0.0024,
|
419 |
+
"step": 1400
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 2.3476112026359144,
|
423 |
+
"grad_norm": 0.5055556297302246,
|
424 |
+
"learning_rate": 7.953333333333334e-06,
|
425 |
+
"loss": 0.004,
|
426 |
+
"step": 1425
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 2.3887973640856672,
|
430 |
+
"grad_norm": 0.27648621797561646,
|
431 |
+
"learning_rate": 7.897777777777778e-06,
|
432 |
+
"loss": 0.0037,
|
433 |
+
"step": 1450
|
434 |
+
},
|
435 |
+
{
|
436 |
+
"epoch": 2.42998352553542,
|
437 |
+
"grad_norm": 2.3948631286621094,
|
438 |
+
"learning_rate": 7.842222222222224e-06,
|
439 |
+
"loss": 0.0022,
|
440 |
+
"step": 1475
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 2.471169686985173,
|
444 |
+
"grad_norm": 0.3471105694770813,
|
445 |
+
"learning_rate": 7.786666666666666e-06,
|
446 |
+
"loss": 0.0034,
|
447 |
+
"step": 1500
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 2.471169686985173,
|
451 |
+
"eval_loss": 0.017010504379868507,
|
452 |
+
"eval_runtime": 1743.3725,
|
453 |
+
"eval_samples_per_second": 1.392,
|
454 |
+
"eval_steps_per_second": 0.174,
|
455 |
+
"eval_wer": 3.821952924726171,
|
456 |
+
"step": 1500
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 2.5123558484349258,
|
460 |
+
"grad_norm": 0.14169706404209137,
|
461 |
+
"learning_rate": 7.731111111111112e-06,
|
462 |
+
"loss": 0.0043,
|
463 |
+
"step": 1525
|
464 |
+
},
|
465 |
+
{
|
466 |
+
"epoch": 2.5535420098846786,
|
467 |
+
"grad_norm": 0.4921598732471466,
|
468 |
+
"learning_rate": 7.675555555555556e-06,
|
469 |
+
"loss": 0.0024,
|
470 |
+
"step": 1550
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 2.594728171334432,
|
474 |
+
"grad_norm": 0.20753732323646545,
|
475 |
+
"learning_rate": 7.620000000000001e-06,
|
476 |
+
"loss": 0.004,
|
477 |
+
"step": 1575
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 2.6359143327841847,
|
481 |
+
"grad_norm": 0.10961499810218811,
|
482 |
+
"learning_rate": 7.564444444444446e-06,
|
483 |
+
"loss": 0.004,
|
484 |
+
"step": 1600
|
485 |
+
},
|
486 |
+
{
|
487 |
+
"epoch": 2.6771004942339376,
|
488 |
+
"grad_norm": 1.0841516256332397,
|
489 |
+
"learning_rate": 7.50888888888889e-06,
|
490 |
+
"loss": 0.0046,
|
491 |
+
"step": 1625
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 2.7182866556836904,
|
495 |
+
"grad_norm": 0.12003188580274582,
|
496 |
+
"learning_rate": 7.453333333333334e-06,
|
497 |
+
"loss": 0.0023,
|
498 |
+
"step": 1650
|
499 |
+
},
|
500 |
+
{
|
501 |
+
"epoch": 2.7594728171334433,
|
502 |
+
"grad_norm": 0.055499833077192307,
|
503 |
+
"learning_rate": 7.3977777777777786e-06,
|
504 |
+
"loss": 0.0035,
|
505 |
+
"step": 1675
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 2.800658978583196,
|
509 |
+
"grad_norm": 2.9141526222229004,
|
510 |
+
"learning_rate": 7.342222222222223e-06,
|
511 |
+
"loss": 0.0023,
|
512 |
+
"step": 1700
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 2.841845140032949,
|
516 |
+
"grad_norm": 0.025740938261151314,
|
517 |
+
"learning_rate": 7.2866666666666675e-06,
|
518 |
+
"loss": 0.0024,
|
519 |
+
"step": 1725
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 2.883031301482702,
|
523 |
+
"grad_norm": 0.6345125436782837,
|
524 |
+
"learning_rate": 7.231111111111112e-06,
|
525 |
+
"loss": 0.004,
|
526 |
+
"step": 1750
|
527 |
+
},
|
528 |
+
{
|
529 |
+
"epoch": 2.9242174629324547,
|
530 |
+
"grad_norm": 0.5243808627128601,
|
531 |
+
"learning_rate": 7.1755555555555556e-06,
|
532 |
+
"loss": 0.0024,
|
533 |
+
"step": 1775
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 2.9654036243822075,
|
537 |
+
"grad_norm": 0.44930708408355713,
|
538 |
+
"learning_rate": 7.1200000000000004e-06,
|
539 |
+
"loss": 0.0025,
|
540 |
+
"step": 1800
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 3.0065897858319603,
|
544 |
+
"grad_norm": 1.6802186965942383,
|
545 |
+
"learning_rate": 7.0644444444444445e-06,
|
546 |
+
"loss": 0.0044,
|
547 |
+
"step": 1825
|
548 |
+
},
|
549 |
+
{
|
550 |
+
"epoch": 3.047775947281713,
|
551 |
+
"grad_norm": 0.2793377637863159,
|
552 |
+
"learning_rate": 7.008888888888889e-06,
|
553 |
+
"loss": 0.0015,
|
554 |
+
"step": 1850
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 3.088962108731466,
|
558 |
+
"grad_norm": 0.07968737185001373,
|
559 |
+
"learning_rate": 6.953333333333334e-06,
|
560 |
+
"loss": 0.0015,
|
561 |
+
"step": 1875
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 3.130148270181219,
|
565 |
+
"grad_norm": 0.04705784469842911,
|
566 |
+
"learning_rate": 6.897777777777779e-06,
|
567 |
+
"loss": 0.001,
|
568 |
+
"step": 1900
|
569 |
+
},
|
570 |
+
{
|
571 |
+
"epoch": 3.171334431630972,
|
572 |
+
"grad_norm": 0.1313919574022293,
|
573 |
+
"learning_rate": 6.842222222222222e-06,
|
574 |
+
"loss": 0.0008,
|
575 |
+
"step": 1925
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 3.212520593080725,
|
579 |
+
"grad_norm": 0.4405129551887512,
|
580 |
+
"learning_rate": 6.786666666666667e-06,
|
581 |
+
"loss": 0.0011,
|
582 |
+
"step": 1950
|
583 |
+
},
|
584 |
+
{
|
585 |
+
"epoch": 3.253706754530478,
|
586 |
+
"grad_norm": 1.2785202264785767,
|
587 |
+
"learning_rate": 6.731111111111111e-06,
|
588 |
+
"loss": 0.0017,
|
589 |
+
"step": 1975
|
590 |
+
},
|
591 |
+
{
|
592 |
+
"epoch": 3.2948929159802307,
|
593 |
+
"grad_norm": 0.04460221529006958,
|
594 |
+
"learning_rate": 6.675555555555556e-06,
|
595 |
+
"loss": 0.0008,
|
596 |
+
"step": 2000
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 3.2948929159802307,
|
600 |
+
"eval_loss": 0.015330803580582142,
|
601 |
+
"eval_runtime": 1719.9199,
|
602 |
+
"eval_samples_per_second": 1.411,
|
603 |
+
"eval_steps_per_second": 0.177,
|
604 |
+
"eval_wer": 3.5733706206789404,
|
605 |
+
"step": 2000
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 3.3360790774299836,
|
609 |
+
"grad_norm": 0.10665885359048843,
|
610 |
+
"learning_rate": 6.620000000000001e-06,
|
611 |
+
"loss": 0.0022,
|
612 |
+
"step": 2025
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 3.3772652388797364,
|
616 |
+
"grad_norm": 4.365774631500244,
|
617 |
+
"learning_rate": 6.564444444444446e-06,
|
618 |
+
"loss": 0.0013,
|
619 |
+
"step": 2050
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 3.4184514003294892,
|
623 |
+
"grad_norm": 0.2422148883342743,
|
624 |
+
"learning_rate": 6.508888888888889e-06,
|
625 |
+
"loss": 0.0011,
|
626 |
+
"step": 2075
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 3.459637561779242,
|
630 |
+
"grad_norm": 0.14427553117275238,
|
631 |
+
"learning_rate": 6.453333333333334e-06,
|
632 |
+
"loss": 0.0009,
|
633 |
+
"step": 2100
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 3.500823723228995,
|
637 |
+
"grad_norm": 0.0224087405949831,
|
638 |
+
"learning_rate": 6.397777777777778e-06,
|
639 |
+
"loss": 0.0005,
|
640 |
+
"step": 2125
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 3.5420098846787478,
|
644 |
+
"grad_norm": 0.052274756133556366,
|
645 |
+
"learning_rate": 6.342222222222223e-06,
|
646 |
+
"loss": 0.0012,
|
647 |
+
"step": 2150
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 3.583196046128501,
|
651 |
+
"grad_norm": 0.12983651459217072,
|
652 |
+
"learning_rate": 6.286666666666668e-06,
|
653 |
+
"loss": 0.0011,
|
654 |
+
"step": 2175
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 3.624382207578254,
|
658 |
+
"grad_norm": 0.17136234045028687,
|
659 |
+
"learning_rate": 6.231111111111111e-06,
|
660 |
+
"loss": 0.0004,
|
661 |
+
"step": 2200
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 3.6655683690280068,
|
665 |
+
"grad_norm": 0.02376146800816059,
|
666 |
+
"learning_rate": 6.175555555555556e-06,
|
667 |
+
"loss": 0.0006,
|
668 |
+
"step": 2225
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 3.7067545304777596,
|
672 |
+
"grad_norm": 0.020898204296827316,
|
673 |
+
"learning_rate": 6.120000000000001e-06,
|
674 |
+
"loss": 0.0004,
|
675 |
+
"step": 2250
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 3.7479406919275124,
|
679 |
+
"grad_norm": 0.011864184401929379,
|
680 |
+
"learning_rate": 6.064444444444445e-06,
|
681 |
+
"loss": 0.0014,
|
682 |
+
"step": 2275
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 3.7891268533772653,
|
686 |
+
"grad_norm": 0.07441503554582596,
|
687 |
+
"learning_rate": 6.00888888888889e-06,
|
688 |
+
"loss": 0.0005,
|
689 |
+
"step": 2300
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 3.830313014827018,
|
693 |
+
"grad_norm": 0.09472518414258957,
|
694 |
+
"learning_rate": 5.9533333333333345e-06,
|
695 |
+
"loss": 0.0008,
|
696 |
+
"step": 2325
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 3.871499176276771,
|
700 |
+
"grad_norm": 0.5632221698760986,
|
701 |
+
"learning_rate": 5.897777777777778e-06,
|
702 |
+
"loss": 0.001,
|
703 |
+
"step": 2350
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 3.912685337726524,
|
707 |
+
"grad_norm": 0.02372151054441929,
|
708 |
+
"learning_rate": 5.8422222222222226e-06,
|
709 |
+
"loss": 0.0008,
|
710 |
+
"step": 2375
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 3.9538714991762767,
|
714 |
+
"grad_norm": 0.324942022562027,
|
715 |
+
"learning_rate": 5.7866666666666674e-06,
|
716 |
+
"loss": 0.0004,
|
717 |
+
"step": 2400
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 3.9950576606260295,
|
721 |
+
"grad_norm": 0.022629514336586,
|
722 |
+
"learning_rate": 5.7311111111111115e-06,
|
723 |
+
"loss": 0.0003,
|
724 |
+
"step": 2425
|
725 |
+
},
|
726 |
+
{
|
727 |
+
"epoch": 4.036243822075782,
|
728 |
+
"grad_norm": 0.012355553917586803,
|
729 |
+
"learning_rate": 5.675555555555556e-06,
|
730 |
+
"loss": 0.0005,
|
731 |
+
"step": 2450
|
732 |
+
},
|
733 |
+
{
|
734 |
+
"epoch": 4.077429983525535,
|
735 |
+
"grad_norm": 0.021213717758655548,
|
736 |
+
"learning_rate": 5.620000000000001e-06,
|
737 |
+
"loss": 0.0005,
|
738 |
+
"step": 2475
|
739 |
+
},
|
740 |
+
{
|
741 |
+
"epoch": 4.118616144975288,
|
742 |
+
"grad_norm": 0.01894320733845234,
|
743 |
+
"learning_rate": 5.5644444444444444e-06,
|
744 |
+
"loss": 0.0003,
|
745 |
+
"step": 2500
|
746 |
+
},
|
747 |
+
{
|
748 |
+
"epoch": 4.118616144975288,
|
749 |
+
"eval_loss": 0.013398992829024792,
|
750 |
+
"eval_runtime": 1739.4064,
|
751 |
+
"eval_samples_per_second": 1.395,
|
752 |
+
"eval_steps_per_second": 0.175,
|
753 |
+
"eval_wer": 2.9130738755534837,
|
754 |
+
"step": 2500
|
755 |
+
},
|
756 |
+
{
|
757 |
+
"epoch": 4.159802306425041,
|
758 |
+
"grad_norm": 0.01304696872830391,
|
759 |
+
"learning_rate": 5.508888888888889e-06,
|
760 |
+
"loss": 0.0005,
|
761 |
+
"step": 2525
|
762 |
+
},
|
763 |
+
{
|
764 |
+
"epoch": 4.200988467874794,
|
765 |
+
"grad_norm": 0.020342445001006126,
|
766 |
+
"learning_rate": 5.453333333333334e-06,
|
767 |
+
"loss": 0.0005,
|
768 |
+
"step": 2550
|
769 |
+
},
|
770 |
+
{
|
771 |
+
"epoch": 4.242174629324547,
|
772 |
+
"grad_norm": 0.02242002822458744,
|
773 |
+
"learning_rate": 5.397777777777778e-06,
|
774 |
+
"loss": 0.0007,
|
775 |
+
"step": 2575
|
776 |
+
},
|
777 |
+
{
|
778 |
+
"epoch": 4.283360790774299,
|
779 |
+
"grad_norm": 0.010535928420722485,
|
780 |
+
"learning_rate": 5.342222222222223e-06,
|
781 |
+
"loss": 0.0005,
|
782 |
+
"step": 2600
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 4.324546952224052,
|
786 |
+
"grad_norm": 0.3926488161087036,
|
787 |
+
"learning_rate": 5.286666666666666e-06,
|
788 |
+
"loss": 0.0008,
|
789 |
+
"step": 2625
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 4.365733113673806,
|
793 |
+
"grad_norm": 0.016406048089265823,
|
794 |
+
"learning_rate": 5.231111111111111e-06,
|
795 |
+
"loss": 0.0002,
|
796 |
+
"step": 2650
|
797 |
+
},
|
798 |
+
{
|
799 |
+
"epoch": 4.406919275123559,
|
800 |
+
"grad_norm": 0.03407042473554611,
|
801 |
+
"learning_rate": 5.175555555555556e-06,
|
802 |
+
"loss": 0.0002,
|
803 |
+
"step": 2675
|
804 |
+
},
|
805 |
+
{
|
806 |
+
"epoch": 4.448105436573312,
|
807 |
+
"grad_norm": 0.019738828763365746,
|
808 |
+
"learning_rate": 5.12e-06,
|
809 |
+
"loss": 0.0003,
|
810 |
+
"step": 2700
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 4.4892915980230645,
|
814 |
+
"grad_norm": 0.03806024044752121,
|
815 |
+
"learning_rate": 5.064444444444445e-06,
|
816 |
+
"loss": 0.0005,
|
817 |
+
"step": 2725
|
818 |
+
},
|
819 |
+
{
|
820 |
+
"epoch": 4.530477759472817,
|
821 |
+
"grad_norm": 0.008825665339827538,
|
822 |
+
"learning_rate": 5.00888888888889e-06,
|
823 |
+
"loss": 0.0005,
|
824 |
+
"step": 2750
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 4.57166392092257,
|
828 |
+
"grad_norm": 0.1027652770280838,
|
829 |
+
"learning_rate": 4.953333333333334e-06,
|
830 |
+
"loss": 0.0003,
|
831 |
+
"step": 2775
|
832 |
+
},
|
833 |
+
{
|
834 |
+
"epoch": 4.612850082372323,
|
835 |
+
"grad_norm": 0.014739478006958961,
|
836 |
+
"learning_rate": 4.897777777777778e-06,
|
837 |
+
"loss": 0.0002,
|
838 |
+
"step": 2800
|
839 |
+
},
|
840 |
+
{
|
841 |
+
"epoch": 4.654036243822076,
|
842 |
+
"grad_norm": 0.02095695212483406,
|
843 |
+
"learning_rate": 4.842222222222223e-06,
|
844 |
+
"loss": 0.0008,
|
845 |
+
"step": 2825
|
846 |
+
},
|
847 |
+
{
|
848 |
+
"epoch": 4.695222405271829,
|
849 |
+
"grad_norm": 0.017346713691949844,
|
850 |
+
"learning_rate": 4.786666666666667e-06,
|
851 |
+
"loss": 0.0003,
|
852 |
+
"step": 2850
|
853 |
+
},
|
854 |
+
{
|
855 |
+
"epoch": 4.736408566721582,
|
856 |
+
"grad_norm": 0.022175878286361694,
|
857 |
+
"learning_rate": 4.731111111111112e-06,
|
858 |
+
"loss": 0.0002,
|
859 |
+
"step": 2875
|
860 |
+
},
|
861 |
+
{
|
862 |
+
"epoch": 4.7775947281713345,
|
863 |
+
"grad_norm": 0.008032923564314842,
|
864 |
+
"learning_rate": 4.675555555555556e-06,
|
865 |
+
"loss": 0.0003,
|
866 |
+
"step": 2900
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 4.818780889621087,
|
870 |
+
"grad_norm": 0.006342317909002304,
|
871 |
+
"learning_rate": 4.620000000000001e-06,
|
872 |
+
"loss": 0.0007,
|
873 |
+
"step": 2925
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 4.85996705107084,
|
877 |
+
"grad_norm": 0.022994259372353554,
|
878 |
+
"learning_rate": 4.564444444444445e-06,
|
879 |
+
"loss": 0.0005,
|
880 |
+
"step": 2950
|
881 |
+
},
|
882 |
+
{
|
883 |
+
"epoch": 4.901153212520593,
|
884 |
+
"grad_norm": 0.07509420812129974,
|
885 |
+
"learning_rate": 4.50888888888889e-06,
|
886 |
+
"loss": 0.0005,
|
887 |
+
"step": 2975
|
888 |
+
},
|
889 |
+
{
|
890 |
+
"epoch": 4.942339373970346,
|
891 |
+
"grad_norm": 0.17356319725513458,
|
892 |
+
"learning_rate": 4.453333333333334e-06,
|
893 |
+
"loss": 0.0003,
|
894 |
+
"step": 3000
|
895 |
+
},
|
896 |
+
{
|
897 |
+
"epoch": 4.942339373970346,
|
898 |
+
"eval_loss": 0.012571546249091625,
|
899 |
+
"eval_runtime": 1705.0805,
|
900 |
+
"eval_samples_per_second": 1.423,
|
901 |
+
"eval_steps_per_second": 0.178,
|
902 |
+
"eval_wer": 2.4236774644604986,
|
903 |
+
"step": 3000
|
904 |
+
},
|
905 |
+
{
|
906 |
+
"epoch": 4.983525535420099,
|
907 |
+
"grad_norm": 0.03659577667713165,
|
908 |
+
"learning_rate": 5.4163636363636365e-06,
|
909 |
+
"loss": 0.001,
|
910 |
+
"step": 3025
|
911 |
+
},
|
912 |
+
{
|
913 |
+
"epoch": 5.0247116968698515,
|
914 |
+
"grad_norm": 0.08530838042497635,
|
915 |
+
"learning_rate": 5.370909090909091e-06,
|
916 |
+
"loss": 0.0004,
|
917 |
+
"step": 3050
|
918 |
+
},
|
919 |
+
{
|
920 |
+
"epoch": 5.065897858319604,
|
921 |
+
"grad_norm": 0.013511723838746548,
|
922 |
+
"learning_rate": 5.325454545454546e-06,
|
923 |
+
"loss": 0.0005,
|
924 |
+
"step": 3075
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 5.107084019769357,
|
928 |
+
"grad_norm": 0.11328202486038208,
|
929 |
+
"learning_rate": 5.28e-06,
|
930 |
+
"loss": 0.0003,
|
931 |
+
"step": 3100
|
932 |
+
},
|
933 |
+
{
|
934 |
+
"epoch": 5.14827018121911,
|
935 |
+
"grad_norm": 0.01356989424675703,
|
936 |
+
"learning_rate": 5.234545454545456e-06,
|
937 |
+
"loss": 0.0001,
|
938 |
+
"step": 3125
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 5.189456342668863,
|
942 |
+
"grad_norm": 0.011790513060986996,
|
943 |
+
"learning_rate": 5.1890909090909095e-06,
|
944 |
+
"loss": 0.0002,
|
945 |
+
"step": 3150
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 5.230642504118616,
|
949 |
+
"grad_norm": 0.022032860666513443,
|
950 |
+
"learning_rate": 5.143636363636364e-06,
|
951 |
+
"loss": 0.0008,
|
952 |
+
"step": 3175
|
953 |
+
},
|
954 |
+
{
|
955 |
+
"epoch": 5.2718286655683695,
|
956 |
+
"grad_norm": 0.004786133300513029,
|
957 |
+
"learning_rate": 5.1e-06,
|
958 |
+
"loss": 0.0007,
|
959 |
+
"step": 3200
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 5.313014827018122,
|
963 |
+
"grad_norm": 0.033955205231904984,
|
964 |
+
"learning_rate": 5.054545454545455e-06,
|
965 |
+
"loss": 0.0014,
|
966 |
+
"step": 3225
|
967 |
+
},
|
968 |
+
{
|
969 |
+
"epoch": 5.354200988467875,
|
970 |
+
"grad_norm": 0.019066009670495987,
|
971 |
+
"learning_rate": 5.009090909090909e-06,
|
972 |
+
"loss": 0.0014,
|
973 |
+
"step": 3250
|
974 |
+
},
|
975 |
+
{
|
976 |
+
"epoch": 5.395387149917628,
|
977 |
+
"grad_norm": 0.3937516212463379,
|
978 |
+
"learning_rate": 4.963636363636364e-06,
|
979 |
+
"loss": 0.0004,
|
980 |
+
"step": 3275
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 5.436573311367381,
|
984 |
+
"grad_norm": 0.022780615836381912,
|
985 |
+
"learning_rate": 4.918181818181819e-06,
|
986 |
+
"loss": 0.0004,
|
987 |
+
"step": 3300
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 5.477759472817134,
|
991 |
+
"grad_norm": 0.0338226743042469,
|
992 |
+
"learning_rate": 4.872727272727273e-06,
|
993 |
+
"loss": 0.0002,
|
994 |
+
"step": 3325
|
995 |
+
},
|
996 |
+
{
|
997 |
+
"epoch": 5.518945634266887,
|
998 |
+
"grad_norm": 0.012667668052017689,
|
999 |
+
"learning_rate": 4.827272727272728e-06,
|
1000 |
+
"loss": 0.0003,
|
1001 |
+
"step": 3350
|
1002 |
+
},
|
1003 |
+
{
|
1004 |
+
"epoch": 5.560131795716639,
|
1005 |
+
"grad_norm": 0.02727661095559597,
|
1006 |
+
"learning_rate": 4.7818181818181825e-06,
|
1007 |
+
"loss": 0.0002,
|
1008 |
+
"step": 3375
|
1009 |
+
},
|
1010 |
+
{
|
1011 |
+
"epoch": 5.601317957166392,
|
1012 |
+
"grad_norm": 0.06680746376514435,
|
1013 |
+
"learning_rate": 4.736363636363637e-06,
|
1014 |
+
"loss": 0.0002,
|
1015 |
+
"step": 3400
|
1016 |
+
},
|
1017 |
+
{
|
1018 |
+
"epoch": 5.642504118616145,
|
1019 |
+
"grad_norm": 0.04453982040286064,
|
1020 |
+
"learning_rate": 4.690909090909092e-06,
|
1021 |
+
"loss": 0.0001,
|
1022 |
+
"step": 3425
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 5.683690280065898,
|
1026 |
+
"grad_norm": 0.01748238503932953,
|
1027 |
+
"learning_rate": 4.645454545454545e-06,
|
1028 |
+
"loss": 0.0002,
|
1029 |
+
"step": 3450
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 5.724876441515651,
|
1033 |
+
"grad_norm": 0.029951492324471474,
|
1034 |
+
"learning_rate": 4.600000000000001e-06,
|
1035 |
+
"loss": 0.0003,
|
1036 |
+
"step": 3475
|
1037 |
+
},
|
1038 |
+
{
|
1039 |
+
"epoch": 5.766062602965404,
|
1040 |
+
"grad_norm": 0.012844923883676529,
|
1041 |
+
"learning_rate": 4.554545454545455e-06,
|
1042 |
+
"loss": 0.0002,
|
1043 |
+
"step": 3500
|
1044 |
+
},
|
1045 |
+
{
|
1046 |
+
"epoch": 5.766062602965404,
|
1047 |
+
"eval_loss": 0.013792040757834911,
|
1048 |
+
"eval_runtime": 1631.8767,
|
1049 |
+
"eval_samples_per_second": 1.487,
|
1050 |
+
"eval_steps_per_second": 0.186,
|
1051 |
+
"eval_wer": 2.6800279655092054,
|
1052 |
+
"step": 3500
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 5.8072487644151565,
|
1056 |
+
"grad_norm": 0.24390824139118195,
|
1057 |
+
"learning_rate": 4.50909090909091e-06,
|
1058 |
+
"loss": 0.0003,
|
1059 |
+
"step": 3525
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 5.848434925864909,
|
1063 |
+
"grad_norm": 0.032755326479673386,
|
1064 |
+
"learning_rate": 4.463636363636364e-06,
|
1065 |
+
"loss": 0.0007,
|
1066 |
+
"step": 3550
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 5.889621087314662,
|
1070 |
+
"grad_norm": 0.04037921503186226,
|
1071 |
+
"learning_rate": 4.418181818181818e-06,
|
1072 |
+
"loss": 0.0002,
|
1073 |
+
"step": 3575
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 5.930807248764415,
|
1077 |
+
"grad_norm": 0.02575298771262169,
|
1078 |
+
"learning_rate": 4.372727272727273e-06,
|
1079 |
+
"loss": 0.0014,
|
1080 |
+
"step": 3600
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 5.971993410214168,
|
1084 |
+
"grad_norm": 0.011575842276215553,
|
1085 |
+
"learning_rate": 4.327272727272728e-06,
|
1086 |
+
"loss": 0.0002,
|
1087 |
+
"step": 3625
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 6.013179571663921,
|
1091 |
+
"grad_norm": 0.005709837190806866,
|
1092 |
+
"learning_rate": 4.281818181818182e-06,
|
1093 |
+
"loss": 0.0013,
|
1094 |
+
"step": 3650
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 6.0543657331136735,
|
1098 |
+
"grad_norm": 0.06958606094121933,
|
1099 |
+
"learning_rate": 4.236363636363637e-06,
|
1100 |
+
"loss": 0.0001,
|
1101 |
+
"step": 3675
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 6.095551894563426,
|
1105 |
+
"grad_norm": 0.00584538234397769,
|
1106 |
+
"learning_rate": 4.190909090909091e-06,
|
1107 |
+
"loss": 0.0002,
|
1108 |
+
"step": 3700
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 6.136738056013179,
|
1112 |
+
"grad_norm": 0.004265847150236368,
|
1113 |
+
"learning_rate": 4.145454545454546e-06,
|
1114 |
+
"loss": 0.0001,
|
1115 |
+
"step": 3725
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 6.177924217462932,
|
1119 |
+
"grad_norm": 0.01833544485270977,
|
1120 |
+
"learning_rate": 4.1e-06,
|
1121 |
+
"loss": 0.0002,
|
1122 |
+
"step": 3750
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 6.219110378912685,
|
1126 |
+
"grad_norm": 0.005921401083469391,
|
1127 |
+
"learning_rate": 4.054545454545455e-06,
|
1128 |
+
"loss": 0.0007,
|
1129 |
+
"step": 3775
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 6.260296540362438,
|
1133 |
+
"grad_norm": 0.007460064720362425,
|
1134 |
+
"learning_rate": 4.009090909090909e-06,
|
1135 |
+
"loss": 0.0001,
|
1136 |
+
"step": 3800
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 6.3014827018121915,
|
1140 |
+
"grad_norm": 0.005449911579489708,
|
1141 |
+
"learning_rate": 3.963636363636364e-06,
|
1142 |
+
"loss": 0.0004,
|
1143 |
+
"step": 3825
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 6.342668863261944,
|
1147 |
+
"grad_norm": 0.008822810836136341,
|
1148 |
+
"learning_rate": 3.918181818181819e-06,
|
1149 |
+
"loss": 0.0001,
|
1150 |
+
"step": 3850
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 6.383855024711697,
|
1154 |
+
"grad_norm": 0.0073766824789345264,
|
1155 |
+
"learning_rate": 3.872727272727273e-06,
|
1156 |
+
"loss": 0.0001,
|
1157 |
+
"step": 3875
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 6.42504118616145,
|
1161 |
+
"grad_norm": 0.009812358766794205,
|
1162 |
+
"learning_rate": 3.827272727272728e-06,
|
1163 |
+
"loss": 0.0001,
|
1164 |
+
"step": 3900
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 6.466227347611203,
|
1168 |
+
"grad_norm": 0.010365708731114864,
|
1169 |
+
"learning_rate": 3.781818181818182e-06,
|
1170 |
+
"loss": 0.0001,
|
1171 |
+
"step": 3925
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 6.507413509060956,
|
1175 |
+
"grad_norm": 0.005115933250635862,
|
1176 |
+
"learning_rate": 3.736363636363637e-06,
|
1177 |
+
"loss": 0.0001,
|
1178 |
+
"step": 3950
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 6.548599670510709,
|
1182 |
+
"grad_norm": 0.0084151616320014,
|
1183 |
+
"learning_rate": 3.690909090909091e-06,
|
1184 |
+
"loss": 0.0001,
|
1185 |
+
"step": 3975
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 6.589785831960461,
|
1189 |
+
"grad_norm": 0.004395967349410057,
|
1190 |
+
"learning_rate": 3.645454545454546e-06,
|
1191 |
+
"loss": 0.0001,
|
1192 |
+
"step": 4000
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 6.589785831960461,
|
1196 |
+
"eval_loss": 0.012646839953958988,
|
1197 |
+
"eval_runtime": 1618.9324,
|
1198 |
+
"eval_samples_per_second": 1.499,
|
1199 |
+
"eval_steps_per_second": 0.188,
|
1200 |
+
"eval_wer": 2.547968616484114,
|
1201 |
+
"step": 4000
|
1202 |
+
}
|
1203 |
+
],
|
1204 |
+
"logging_steps": 25,
|
1205 |
+
"max_steps": 6000,
|
1206 |
+
"num_input_tokens_seen": 0,
|
1207 |
+
"num_train_epochs": 10,
|
1208 |
+
"save_steps": 500,
|
1209 |
+
"total_flos": 1.846253957087232e+19,
|
1210 |
+
"train_batch_size": 16,
|
1211 |
+
"trial_name": null,
|
1212 |
+
"trial_params": null
|
1213 |
+
}
|
checkpoint-4000/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:61e560920a627ae9f20a18d2de681e174f6cdebbef8e94bddd175b4b202177ef
|
3 |
+
size 5176
|