Upload with huggingface_hub
Browse files- config.json +298 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +917 -0
- training_args.bin +3 -0
config.json
ADDED
@@ -0,0 +1,298 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "facebook/wav2vec2-base",
|
3 |
+
"activation_dropout": 0.0,
|
4 |
+
"adapter_attn_dim": null,
|
5 |
+
"adapter_kernel_size": 3,
|
6 |
+
"adapter_stride": 2,
|
7 |
+
"add_adapter": false,
|
8 |
+
"apply_spec_augment": true,
|
9 |
+
"architectures": [
|
10 |
+
"Wav2Vec2ForSequenceClassification"
|
11 |
+
],
|
12 |
+
"attention_dropout": 0.1,
|
13 |
+
"bos_token_id": 1,
|
14 |
+
"classifier_proj_size": 256,
|
15 |
+
"codevector_dim": 256,
|
16 |
+
"contrastive_logits_temperature": 0.1,
|
17 |
+
"conv_bias": false,
|
18 |
+
"conv_dim": [
|
19 |
+
512,
|
20 |
+
512,
|
21 |
+
512,
|
22 |
+
512,
|
23 |
+
512,
|
24 |
+
512,
|
25 |
+
512
|
26 |
+
],
|
27 |
+
"conv_kernel": [
|
28 |
+
10,
|
29 |
+
3,
|
30 |
+
3,
|
31 |
+
3,
|
32 |
+
3,
|
33 |
+
2,
|
34 |
+
2
|
35 |
+
],
|
36 |
+
"conv_stride": [
|
37 |
+
5,
|
38 |
+
2,
|
39 |
+
2,
|
40 |
+
2,
|
41 |
+
2,
|
42 |
+
2,
|
43 |
+
2
|
44 |
+
],
|
45 |
+
"ctc_loss_reduction": "sum",
|
46 |
+
"ctc_zero_infinity": false,
|
47 |
+
"diversity_loss_weight": 0.1,
|
48 |
+
"do_stable_layer_norm": false,
|
49 |
+
"eos_token_id": 2,
|
50 |
+
"feat_extract_activation": "gelu",
|
51 |
+
"feat_extract_norm": "group",
|
52 |
+
"feat_proj_dropout": 0.1,
|
53 |
+
"feat_quantizer_dropout": 0.0,
|
54 |
+
"final_dropout": 0.0,
|
55 |
+
"freeze_feat_extract_train": true,
|
56 |
+
"hidden_act": "gelu",
|
57 |
+
"hidden_dropout": 0.1,
|
58 |
+
"hidden_size": 768,
|
59 |
+
"id2label": {
|
60 |
+
"0": "calendar_set",
|
61 |
+
"1": "wavs/audio_volume_mute",
|
62 |
+
"10": "iot_coffee",
|
63 |
+
"11": "calendar_remove",
|
64 |
+
"12": "email_sendemail",
|
65 |
+
"13": "general_joke",
|
66 |
+
"14": "lists_query",
|
67 |
+
"15": "iot_cleaning",
|
68 |
+
"16": "social_query",
|
69 |
+
"17": "cooking_recipe",
|
70 |
+
"18": "play_game",
|
71 |
+
"19": "weather_query",
|
72 |
+
"2": "qa_stock",
|
73 |
+
"20": "iot_hue_lightoff",
|
74 |
+
"21": "qa_factoid",
|
75 |
+
"22": "play_wavs/audiobook",
|
76 |
+
"23": "news_query",
|
77 |
+
"24": "qa_maths",
|
78 |
+
"25": "email_query",
|
79 |
+
"26": "recommendation_movies",
|
80 |
+
"27": "transport_traffic",
|
81 |
+
"28": "takeaway_order",
|
82 |
+
"29": "wavs/audio_volume_other",
|
83 |
+
"3": "social_post",
|
84 |
+
"30": "datetime_convert",
|
85 |
+
"31": "music",
|
86 |
+
"32": "recommendation_locations",
|
87 |
+
"33": "recommendation_events",
|
88 |
+
"34": "qa_currency",
|
89 |
+
"35": "lists_createoradd",
|
90 |
+
"36": "datetime_query",
|
91 |
+
"37": "transport_ticket",
|
92 |
+
"38": "takeaway_query",
|
93 |
+
"39": "general_greet",
|
94 |
+
"4": "play_radio",
|
95 |
+
"40": "qa_definition",
|
96 |
+
"41": "play_podcasts",
|
97 |
+
"42": "transport_taxi",
|
98 |
+
"43": "alarm_remove",
|
99 |
+
"44": "iot_hue_lightchange",
|
100 |
+
"45": "email_querycontact",
|
101 |
+
"46": "iot_hue_lightdim",
|
102 |
+
"47": "alarm_set",
|
103 |
+
"48": "iot_hue_lightup",
|
104 |
+
"49": "transport_query",
|
105 |
+
"5": "calendar_query",
|
106 |
+
"50": "iot_wemo_on",
|
107 |
+
"51": "music_likeness",
|
108 |
+
"52": "alarm_query",
|
109 |
+
"53": "music_dislikeness",
|
110 |
+
"54": "lists_remove",
|
111 |
+
"55": "iot_hue_lighton",
|
112 |
+
"56": "wavs/audio_volume_down",
|
113 |
+
"57": "factoid",
|
114 |
+
"58": "iot_wemo_off",
|
115 |
+
"59": "query",
|
116 |
+
"6": "music_query",
|
117 |
+
"60": "set",
|
118 |
+
"61": "quirky",
|
119 |
+
"62": "email_addcontact",
|
120 |
+
"63": "music_settings",
|
121 |
+
"64": "joke",
|
122 |
+
"65": "podcasts",
|
123 |
+
"66": "game",
|
124 |
+
"67": "coffee",
|
125 |
+
"68": "radio",
|
126 |
+
"69": "post",
|
127 |
+
"7": "general_quirky",
|
128 |
+
"70": "convert",
|
129 |
+
"71": "remove",
|
130 |
+
"72": "greet",
|
131 |
+
"73": "cooking_query",
|
132 |
+
"74": "sendemail",
|
133 |
+
"75": "traffic",
|
134 |
+
"76": "hue_lightup",
|
135 |
+
"77": "hue_lightoff",
|
136 |
+
"78": "currency",
|
137 |
+
"79": "wemo_off",
|
138 |
+
"8": "play_music",
|
139 |
+
"80": "hue_lightdim",
|
140 |
+
"81": "createoradd",
|
141 |
+
"82": "ticket",
|
142 |
+
"83": "volume_other",
|
143 |
+
"84": "cleaning",
|
144 |
+
"85": "querycontact",
|
145 |
+
"86": "wemo_on",
|
146 |
+
"87": "addcontact",
|
147 |
+
"9": "wavs/audio_volume_up"
|
148 |
+
},
|
149 |
+
"initializer_range": 0.02,
|
150 |
+
"intermediate_size": 3072,
|
151 |
+
"label2id": {
|
152 |
+
"addcontact": "87",
|
153 |
+
"alarm_query": "52",
|
154 |
+
"alarm_remove": "43",
|
155 |
+
"alarm_set": "47",
|
156 |
+
"calendar_query": "5",
|
157 |
+
"calendar_remove": "11",
|
158 |
+
"calendar_set": "0",
|
159 |
+
"cleaning": "84",
|
160 |
+
"coffee": "67",
|
161 |
+
"convert": "70",
|
162 |
+
"cooking_query": "73",
|
163 |
+
"cooking_recipe": "17",
|
164 |
+
"createoradd": "81",
|
165 |
+
"currency": "78",
|
166 |
+
"datetime_convert": "30",
|
167 |
+
"datetime_query": "36",
|
168 |
+
"email_addcontact": "62",
|
169 |
+
"email_query": "25",
|
170 |
+
"email_querycontact": "45",
|
171 |
+
"email_sendemail": "12",
|
172 |
+
"factoid": "57",
|
173 |
+
"game": "66",
|
174 |
+
"general_greet": "39",
|
175 |
+
"general_joke": "13",
|
176 |
+
"general_quirky": "7",
|
177 |
+
"greet": "72",
|
178 |
+
"hue_lightdim": "80",
|
179 |
+
"hue_lightoff": "77",
|
180 |
+
"hue_lightup": "76",
|
181 |
+
"iot_cleaning": "15",
|
182 |
+
"iot_coffee": "10",
|
183 |
+
"iot_hue_lightchange": "44",
|
184 |
+
"iot_hue_lightdim": "46",
|
185 |
+
"iot_hue_lightoff": "20",
|
186 |
+
"iot_hue_lighton": "55",
|
187 |
+
"iot_hue_lightup": "48",
|
188 |
+
"iot_wemo_off": "58",
|
189 |
+
"iot_wemo_on": "50",
|
190 |
+
"joke": "64",
|
191 |
+
"lists_createoradd": "35",
|
192 |
+
"lists_query": "14",
|
193 |
+
"lists_remove": "54",
|
194 |
+
"music": "31",
|
195 |
+
"music_dislikeness": "53",
|
196 |
+
"music_likeness": "51",
|
197 |
+
"music_query": "6",
|
198 |
+
"music_settings": "63",
|
199 |
+
"news_query": "23",
|
200 |
+
"play_game": "18",
|
201 |
+
"play_music": "8",
|
202 |
+
"play_podcasts": "41",
|
203 |
+
"play_radio": "4",
|
204 |
+
"play_wavs/audiobook": "22",
|
205 |
+
"podcasts": "65",
|
206 |
+
"post": "69",
|
207 |
+
"qa_currency": "34",
|
208 |
+
"qa_definition": "40",
|
209 |
+
"qa_factoid": "21",
|
210 |
+
"qa_maths": "24",
|
211 |
+
"qa_stock": "2",
|
212 |
+
"query": "59",
|
213 |
+
"querycontact": "85",
|
214 |
+
"quirky": "61",
|
215 |
+
"radio": "68",
|
216 |
+
"recommendation_events": "33",
|
217 |
+
"recommendation_locations": "32",
|
218 |
+
"recommendation_movies": "26",
|
219 |
+
"remove": "71",
|
220 |
+
"sendemail": "74",
|
221 |
+
"set": "60",
|
222 |
+
"social_post": "3",
|
223 |
+
"social_query": "16",
|
224 |
+
"takeaway_order": "28",
|
225 |
+
"takeaway_query": "38",
|
226 |
+
"ticket": "82",
|
227 |
+
"traffic": "75",
|
228 |
+
"transport_query": "49",
|
229 |
+
"transport_taxi": "42",
|
230 |
+
"transport_ticket": "37",
|
231 |
+
"transport_traffic": "27",
|
232 |
+
"volume_other": "83",
|
233 |
+
"wavs/audio_volume_down": "56",
|
234 |
+
"wavs/audio_volume_mute": "1",
|
235 |
+
"wavs/audio_volume_other": "29",
|
236 |
+
"wavs/audio_volume_up": "9",
|
237 |
+
"weather_query": "19",
|
238 |
+
"wemo_off": "79",
|
239 |
+
"wemo_on": "86"
|
240 |
+
},
|
241 |
+
"layer_norm_eps": 1e-05,
|
242 |
+
"layerdrop": 0.0,
|
243 |
+
"mask_channel_length": 10,
|
244 |
+
"mask_channel_min_space": 1,
|
245 |
+
"mask_channel_other": 0.0,
|
246 |
+
"mask_channel_prob": 0.0,
|
247 |
+
"mask_channel_selection": "static",
|
248 |
+
"mask_feature_length": 10,
|
249 |
+
"mask_feature_min_masks": 0,
|
250 |
+
"mask_feature_prob": 0.0,
|
251 |
+
"mask_time_length": 10,
|
252 |
+
"mask_time_min_masks": 2,
|
253 |
+
"mask_time_min_space": 1,
|
254 |
+
"mask_time_other": 0.0,
|
255 |
+
"mask_time_prob": 0.05,
|
256 |
+
"mask_time_selection": "static",
|
257 |
+
"model_type": "wav2vec2",
|
258 |
+
"no_mask_channel_overlap": false,
|
259 |
+
"no_mask_time_overlap": false,
|
260 |
+
"num_adapter_layers": 3,
|
261 |
+
"num_attention_heads": 12,
|
262 |
+
"num_codevector_groups": 2,
|
263 |
+
"num_codevectors_per_group": 320,
|
264 |
+
"num_conv_pos_embedding_groups": 16,
|
265 |
+
"num_conv_pos_embeddings": 128,
|
266 |
+
"num_feat_extract_layers": 7,
|
267 |
+
"num_hidden_layers": 12,
|
268 |
+
"num_negatives": 100,
|
269 |
+
"output_hidden_size": 768,
|
270 |
+
"pad_token_id": 0,
|
271 |
+
"proj_codevector_dim": 256,
|
272 |
+
"tdnn_dilation": [
|
273 |
+
1,
|
274 |
+
2,
|
275 |
+
3,
|
276 |
+
1,
|
277 |
+
1
|
278 |
+
],
|
279 |
+
"tdnn_dim": [
|
280 |
+
512,
|
281 |
+
512,
|
282 |
+
512,
|
283 |
+
512,
|
284 |
+
1500
|
285 |
+
],
|
286 |
+
"tdnn_kernel": [
|
287 |
+
5,
|
288 |
+
3,
|
289 |
+
3,
|
290 |
+
1,
|
291 |
+
1
|
292 |
+
],
|
293 |
+
"torch_dtype": "float32",
|
294 |
+
"transformers_version": "4.45.2",
|
295 |
+
"use_weighted_layer_sum": false,
|
296 |
+
"vocab_size": 32,
|
297 |
+
"xvector_output_dim": 512
|
298 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2eb595d9bffebf49d469d7ba67f390dd4a3bbbafe03327475cefbfcbfb2fbf9e
|
3 |
+
size 378390784
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b7378f65dc440ef3323f4064ec7cdf0a00ec197d73ef4cb485cb02f4e166988c
|
3 |
+
size 756909370
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8d42fbb35be881a336af3b263d82ee7d97c2eca75108898734086b9ca86cfe08
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b1d6302a7353dd67847dce608afaaff547c670ef8ef4c52a5a5ac9772ebc0155
|
3 |
+
size 1064
|
trainer_state.json
ADDED
@@ -0,0 +1,917 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.8215622660344397,
|
3 |
+
"best_model_checkpoint": "results_unlearning/facebook/wav2vec2-base/42/checkpoint-26000",
|
4 |
+
"epoch": 57.30027548209367,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 26000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 1.1019283746556474,
|
13 |
+
"grad_norm": 3.954470634460449,
|
14 |
+
"learning_rate": 8.333333333333333e-05,
|
15 |
+
"loss": 3.9037,
|
16 |
+
"step": 500
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 1.1019283746556474,
|
20 |
+
"eval_accuracy": 0.1856750686298977,
|
21 |
+
"eval_f1_macro": 0.0338842756461234,
|
22 |
+
"eval_loss": 3.2653889656066895,
|
23 |
+
"eval_runtime": 201.4102,
|
24 |
+
"eval_samples_per_second": 39.789,
|
25 |
+
"eval_steps_per_second": 1.246,
|
26 |
+
"step": 500
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 2.203856749311295,
|
30 |
+
"grad_norm": 7.994827747344971,
|
31 |
+
"learning_rate": 0.00016666666666666666,
|
32 |
+
"loss": 2.4697,
|
33 |
+
"step": 1000
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 2.203856749311295,
|
37 |
+
"eval_accuracy": 0.5384327427002745,
|
38 |
+
"eval_f1_macro": 0.2623597839382389,
|
39 |
+
"eval_loss": 1.8842540979385376,
|
40 |
+
"eval_runtime": 47.0501,
|
41 |
+
"eval_samples_per_second": 170.329,
|
42 |
+
"eval_steps_per_second": 5.335,
|
43 |
+
"step": 1000
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"epoch": 3.3057851239669422,
|
47 |
+
"grad_norm": 8.498858451843262,
|
48 |
+
"learning_rate": 0.00025,
|
49 |
+
"loss": 1.6285,
|
50 |
+
"step": 1500
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 3.3057851239669422,
|
54 |
+
"eval_accuracy": 0.6313950586473671,
|
55 |
+
"eval_f1_macro": 0.4048605043298036,
|
56 |
+
"eval_loss": 1.509529709815979,
|
57 |
+
"eval_runtime": 34.1201,
|
58 |
+
"eval_samples_per_second": 234.876,
|
59 |
+
"eval_steps_per_second": 7.356,
|
60 |
+
"step": 1500
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 4.40771349862259,
|
64 |
+
"grad_norm": 9.255996704101562,
|
65 |
+
"learning_rate": 0.0003333333333333333,
|
66 |
+
"loss": 1.4076,
|
67 |
+
"step": 2000
|
68 |
+
},
|
69 |
+
{
|
70 |
+
"epoch": 4.40771349862259,
|
71 |
+
"eval_accuracy": 0.6400049912652858,
|
72 |
+
"eval_f1_macro": 0.42658784153796886,
|
73 |
+
"eval_loss": 1.5477856397628784,
|
74 |
+
"eval_runtime": 34.313,
|
75 |
+
"eval_samples_per_second": 233.556,
|
76 |
+
"eval_steps_per_second": 7.315,
|
77 |
+
"step": 2000
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 5.509641873278237,
|
81 |
+
"grad_norm": 8.901646614074707,
|
82 |
+
"learning_rate": 0.0004166666666666667,
|
83 |
+
"loss": 1.3687,
|
84 |
+
"step": 2500
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 5.509641873278237,
|
88 |
+
"eval_accuracy": 0.6643374095333167,
|
89 |
+
"eval_f1_macro": 0.4590986266426292,
|
90 |
+
"eval_loss": 1.4123471975326538,
|
91 |
+
"eval_runtime": 34.1574,
|
92 |
+
"eval_samples_per_second": 234.62,
|
93 |
+
"eval_steps_per_second": 7.348,
|
94 |
+
"step": 2500
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 6.6115702479338845,
|
98 |
+
"grad_norm": 6.906811714172363,
|
99 |
+
"learning_rate": 0.0005,
|
100 |
+
"loss": 1.3757,
|
101 |
+
"step": 3000
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 6.6115702479338845,
|
105 |
+
"eval_accuracy": 0.6093087097579236,
|
106 |
+
"eval_f1_macro": 0.42633143981000005,
|
107 |
+
"eval_loss": 1.642005205154419,
|
108 |
+
"eval_runtime": 34.1921,
|
109 |
+
"eval_samples_per_second": 234.381,
|
110 |
+
"eval_steps_per_second": 7.341,
|
111 |
+
"step": 3000
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 7.7134986225895315,
|
115 |
+
"grad_norm": 9.686969757080078,
|
116 |
+
"learning_rate": 0.0004907407407407408,
|
117 |
+
"loss": 1.3816,
|
118 |
+
"step": 3500
|
119 |
+
},
|
120 |
+
{
|
121 |
+
"epoch": 7.7134986225895315,
|
122 |
+
"eval_accuracy": 0.6442475667581732,
|
123 |
+
"eval_f1_macro": 0.4625270466241396,
|
124 |
+
"eval_loss": 1.520119309425354,
|
125 |
+
"eval_runtime": 176.8139,
|
126 |
+
"eval_samples_per_second": 45.324,
|
127 |
+
"eval_steps_per_second": 1.42,
|
128 |
+
"step": 3500
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 8.81542699724518,
|
132 |
+
"grad_norm": 9.070294380187988,
|
133 |
+
"learning_rate": 0.00048148148148148144,
|
134 |
+
"loss": 1.2373,
|
135 |
+
"step": 4000
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 8.81542699724518,
|
139 |
+
"eval_accuracy": 0.6640878462690292,
|
140 |
+
"eval_f1_macro": 0.4936672291314334,
|
141 |
+
"eval_loss": 1.4355494976043701,
|
142 |
+
"eval_runtime": 34.0662,
|
143 |
+
"eval_samples_per_second": 235.248,
|
144 |
+
"eval_steps_per_second": 7.368,
|
145 |
+
"step": 4000
|
146 |
+
},
|
147 |
+
{
|
148 |
+
"epoch": 9.917355371900827,
|
149 |
+
"grad_norm": 10.048285484313965,
|
150 |
+
"learning_rate": 0.00047222222222222224,
|
151 |
+
"loss": 1.1039,
|
152 |
+
"step": 4500
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 9.917355371900827,
|
156 |
+
"eval_accuracy": 0.6771899176441227,
|
157 |
+
"eval_f1_macro": 0.48714340971176784,
|
158 |
+
"eval_loss": 1.3826853036880493,
|
159 |
+
"eval_runtime": 33.9169,
|
160 |
+
"eval_samples_per_second": 236.284,
|
161 |
+
"eval_steps_per_second": 7.4,
|
162 |
+
"step": 4500
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 11.019283746556473,
|
166 |
+
"grad_norm": 6.188383102416992,
|
167 |
+
"learning_rate": 0.000462962962962963,
|
168 |
+
"loss": 1.037,
|
169 |
+
"step": 5000
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 11.019283746556473,
|
173 |
+
"eval_accuracy": 0.6820564012977289,
|
174 |
+
"eval_f1_macro": 0.5233785564818548,
|
175 |
+
"eval_loss": 1.4125980138778687,
|
176 |
+
"eval_runtime": 33.9515,
|
177 |
+
"eval_samples_per_second": 236.042,
|
178 |
+
"eval_steps_per_second": 7.393,
|
179 |
+
"step": 5000
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 12.121212121212121,
|
183 |
+
"grad_norm": 5.904200077056885,
|
184 |
+
"learning_rate": 0.0004537037037037037,
|
185 |
+
"loss": 0.9419,
|
186 |
+
"step": 5500
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 12.121212121212121,
|
190 |
+
"eval_accuracy": 0.7108809583229349,
|
191 |
+
"eval_f1_macro": 0.5375488759123677,
|
192 |
+
"eval_loss": 1.2807058095932007,
|
193 |
+
"eval_runtime": 34.1787,
|
194 |
+
"eval_samples_per_second": 234.473,
|
195 |
+
"eval_steps_per_second": 7.344,
|
196 |
+
"step": 5500
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 13.223140495867769,
|
200 |
+
"grad_norm": 6.450353145599365,
|
201 |
+
"learning_rate": 0.0004444444444444444,
|
202 |
+
"loss": 0.855,
|
203 |
+
"step": 6000
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 13.223140495867769,
|
207 |
+
"eval_accuracy": 0.7106313950586474,
|
208 |
+
"eval_f1_macro": 0.551305442830446,
|
209 |
+
"eval_loss": 1.3112666606903076,
|
210 |
+
"eval_runtime": 50.9709,
|
211 |
+
"eval_samples_per_second": 157.227,
|
212 |
+
"eval_steps_per_second": 4.924,
|
213 |
+
"step": 6000
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 14.325068870523417,
|
217 |
+
"grad_norm": 8.54566764831543,
|
218 |
+
"learning_rate": 0.0004351851851851852,
|
219 |
+
"loss": 0.7855,
|
220 |
+
"step": 6500
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 14.325068870523417,
|
224 |
+
"eval_accuracy": 0.7096331420014974,
|
225 |
+
"eval_f1_macro": 0.5583041388143256,
|
226 |
+
"eval_loss": 1.2415180206298828,
|
227 |
+
"eval_runtime": 138.5717,
|
228 |
+
"eval_samples_per_second": 57.833,
|
229 |
+
"eval_steps_per_second": 1.811,
|
230 |
+
"step": 6500
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 15.426997245179063,
|
234 |
+
"grad_norm": 6.042281627655029,
|
235 |
+
"learning_rate": 0.00042592592592592595,
|
236 |
+
"loss": 0.7192,
|
237 |
+
"step": 7000
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 15.426997245179063,
|
241 |
+
"eval_accuracy": 0.7216121786872972,
|
242 |
+
"eval_f1_macro": 0.5653564656146333,
|
243 |
+
"eval_loss": 1.2567986249923706,
|
244 |
+
"eval_runtime": 34.1278,
|
245 |
+
"eval_samples_per_second": 234.823,
|
246 |
+
"eval_steps_per_second": 7.355,
|
247 |
+
"step": 7000
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 16.52892561983471,
|
251 |
+
"grad_norm": 7.013518333435059,
|
252 |
+
"learning_rate": 0.0004166666666666667,
|
253 |
+
"loss": 0.6721,
|
254 |
+
"step": 7500
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 16.52892561983471,
|
258 |
+
"eval_accuracy": 0.719241327676566,
|
259 |
+
"eval_f1_macro": 0.5674881280347366,
|
260 |
+
"eval_loss": 1.2789088487625122,
|
261 |
+
"eval_runtime": 34.173,
|
262 |
+
"eval_samples_per_second": 234.512,
|
263 |
+
"eval_steps_per_second": 7.345,
|
264 |
+
"step": 7500
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 17.63085399449036,
|
268 |
+
"grad_norm": 5.327983379364014,
|
269 |
+
"learning_rate": 0.0004074074074074074,
|
270 |
+
"loss": 0.618,
|
271 |
+
"step": 8000
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 17.63085399449036,
|
275 |
+
"eval_accuracy": 0.7237334664337409,
|
276 |
+
"eval_f1_macro": 0.5611898965872011,
|
277 |
+
"eval_loss": 1.2278856039047241,
|
278 |
+
"eval_runtime": 34.0889,
|
279 |
+
"eval_samples_per_second": 235.091,
|
280 |
+
"eval_steps_per_second": 7.363,
|
281 |
+
"step": 8000
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 18.732782369146005,
|
285 |
+
"grad_norm": 5.324774265289307,
|
286 |
+
"learning_rate": 0.0003981481481481481,
|
287 |
+
"loss": 0.5673,
|
288 |
+
"step": 8500
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 18.732782369146005,
|
292 |
+
"eval_accuracy": 0.7378337908659846,
|
293 |
+
"eval_f1_macro": 0.5708025777794506,
|
294 |
+
"eval_loss": 1.2691614627838135,
|
295 |
+
"eval_runtime": 34.0618,
|
296 |
+
"eval_samples_per_second": 235.278,
|
297 |
+
"eval_steps_per_second": 7.369,
|
298 |
+
"step": 8500
|
299 |
+
},
|
300 |
+
{
|
301 |
+
"epoch": 19.834710743801654,
|
302 |
+
"grad_norm": 7.3289384841918945,
|
303 |
+
"learning_rate": 0.0003888888888888889,
|
304 |
+
"loss": 0.523,
|
305 |
+
"step": 9000
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 19.834710743801654,
|
309 |
+
"eval_accuracy": 0.736585974544547,
|
310 |
+
"eval_f1_macro": 0.583453506873929,
|
311 |
+
"eval_loss": 1.2533445358276367,
|
312 |
+
"eval_runtime": 34.1698,
|
313 |
+
"eval_samples_per_second": 234.534,
|
314 |
+
"eval_steps_per_second": 7.346,
|
315 |
+
"step": 9000
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 20.9366391184573,
|
319 |
+
"grad_norm": 4.2654643058776855,
|
320 |
+
"learning_rate": 0.00037962962962962966,
|
321 |
+
"loss": 0.4761,
|
322 |
+
"step": 9500
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"epoch": 20.9366391184573,
|
326 |
+
"eval_accuracy": 0.7508110806089343,
|
327 |
+
"eval_f1_macro": 0.5780908306225785,
|
328 |
+
"eval_loss": 1.2073005437850952,
|
329 |
+
"eval_runtime": 34.1144,
|
330 |
+
"eval_samples_per_second": 234.915,
|
331 |
+
"eval_steps_per_second": 7.358,
|
332 |
+
"step": 9500
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 22.038567493112946,
|
336 |
+
"grad_norm": 7.886093616485596,
|
337 |
+
"learning_rate": 0.00037037037037037035,
|
338 |
+
"loss": 0.4481,
|
339 |
+
"step": 10000
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 22.038567493112946,
|
343 |
+
"eval_accuracy": 0.7504367357125031,
|
344 |
+
"eval_f1_macro": 0.5902163691095943,
|
345 |
+
"eval_loss": 1.2306609153747559,
|
346 |
+
"eval_runtime": 34.1357,
|
347 |
+
"eval_samples_per_second": 234.769,
|
348 |
+
"eval_steps_per_second": 7.353,
|
349 |
+
"step": 10000
|
350 |
+
},
|
351 |
+
{
|
352 |
+
"epoch": 23.140495867768596,
|
353 |
+
"grad_norm": 5.739956855773926,
|
354 |
+
"learning_rate": 0.0003611111111111111,
|
355 |
+
"loss": 0.4137,
|
356 |
+
"step": 10500
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 23.140495867768596,
|
360 |
+
"eval_accuracy": 0.7481906663339156,
|
361 |
+
"eval_f1_macro": 0.6000675997156686,
|
362 |
+
"eval_loss": 1.2535877227783203,
|
363 |
+
"eval_runtime": 34.1657,
|
364 |
+
"eval_samples_per_second": 234.563,
|
365 |
+
"eval_steps_per_second": 7.347,
|
366 |
+
"step": 10500
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 24.242424242424242,
|
370 |
+
"grad_norm": 6.5599589347839355,
|
371 |
+
"learning_rate": 0.0003518518518518519,
|
372 |
+
"loss": 0.3771,
|
373 |
+
"step": 11000
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 24.242424242424242,
|
377 |
+
"eval_accuracy": 0.7523084601946594,
|
378 |
+
"eval_f1_macro": 0.6003714574908554,
|
379 |
+
"eval_loss": 1.1841113567352295,
|
380 |
+
"eval_runtime": 33.9543,
|
381 |
+
"eval_samples_per_second": 236.023,
|
382 |
+
"eval_steps_per_second": 7.392,
|
383 |
+
"step": 11000
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 25.34435261707989,
|
387 |
+
"grad_norm": 4.988476753234863,
|
388 |
+
"learning_rate": 0.00034259259259259263,
|
389 |
+
"loss": 0.3456,
|
390 |
+
"step": 11500
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 25.34435261707989,
|
394 |
+
"eval_accuracy": 0.7511854255053656,
|
395 |
+
"eval_f1_macro": 0.613830898261218,
|
396 |
+
"eval_loss": 1.2578365802764893,
|
397 |
+
"eval_runtime": 34.0485,
|
398 |
+
"eval_samples_per_second": 235.37,
|
399 |
+
"eval_steps_per_second": 7.372,
|
400 |
+
"step": 11500
|
401 |
+
},
|
402 |
+
{
|
403 |
+
"epoch": 26.446280991735538,
|
404 |
+
"grad_norm": 10.72720718383789,
|
405 |
+
"learning_rate": 0.0003333333333333333,
|
406 |
+
"loss": 0.3206,
|
407 |
+
"step": 12000
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 26.446280991735538,
|
411 |
+
"eval_accuracy": 0.7565510356875468,
|
412 |
+
"eval_f1_macro": 0.6008526427475953,
|
413 |
+
"eval_loss": 1.2595282793045044,
|
414 |
+
"eval_runtime": 34.0387,
|
415 |
+
"eval_samples_per_second": 235.438,
|
416 |
+
"eval_steps_per_second": 7.374,
|
417 |
+
"step": 12000
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 27.548209366391184,
|
421 |
+
"grad_norm": 5.9753098487854,
|
422 |
+
"learning_rate": 0.00032407407407407406,
|
423 |
+
"loss": 0.3083,
|
424 |
+
"step": 12500
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 27.548209366391184,
|
428 |
+
"eval_accuracy": 0.7525580234589468,
|
429 |
+
"eval_f1_macro": 0.6225560622894577,
|
430 |
+
"eval_loss": 1.2758995294570923,
|
431 |
+
"eval_runtime": 33.9587,
|
432 |
+
"eval_samples_per_second": 235.992,
|
433 |
+
"eval_steps_per_second": 7.391,
|
434 |
+
"step": 12500
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 28.650137741046834,
|
438 |
+
"grad_norm": 7.985760688781738,
|
439 |
+
"learning_rate": 0.0003148148148148148,
|
440 |
+
"loss": 0.286,
|
441 |
+
"step": 13000
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 28.650137741046834,
|
445 |
+
"eval_accuracy": 0.7631644621911655,
|
446 |
+
"eval_f1_macro": 0.615134929599282,
|
447 |
+
"eval_loss": 1.2176945209503174,
|
448 |
+
"eval_runtime": 34.0075,
|
449 |
+
"eval_samples_per_second": 235.654,
|
450 |
+
"eval_steps_per_second": 7.381,
|
451 |
+
"step": 13000
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 29.75206611570248,
|
455 |
+
"grad_norm": 3.7680389881134033,
|
456 |
+
"learning_rate": 0.0003055555555555556,
|
457 |
+
"loss": 0.2678,
|
458 |
+
"step": 13500
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 29.75206611570248,
|
462 |
+
"eval_accuracy": 0.7686548540054904,
|
463 |
+
"eval_f1_macro": 0.6317793794263403,
|
464 |
+
"eval_loss": 1.2493242025375366,
|
465 |
+
"eval_runtime": 34.052,
|
466 |
+
"eval_samples_per_second": 235.346,
|
467 |
+
"eval_steps_per_second": 7.371,
|
468 |
+
"step": 13500
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 30.853994490358126,
|
472 |
+
"grad_norm": 2.3487305641174316,
|
473 |
+
"learning_rate": 0.0002962962962962963,
|
474 |
+
"loss": 0.2488,
|
475 |
+
"step": 14000
|
476 |
+
},
|
477 |
+
{
|
478 |
+
"epoch": 30.853994490358126,
|
479 |
+
"eval_accuracy": 0.7685300723733467,
|
480 |
+
"eval_f1_macro": 0.6379453782996546,
|
481 |
+
"eval_loss": 1.2121572494506836,
|
482 |
+
"eval_runtime": 33.8764,
|
483 |
+
"eval_samples_per_second": 236.566,
|
484 |
+
"eval_steps_per_second": 7.409,
|
485 |
+
"step": 14000
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 31.955922865013775,
|
489 |
+
"grad_norm": 5.986231803894043,
|
490 |
+
"learning_rate": 0.00028703703703703703,
|
491 |
+
"loss": 0.2324,
|
492 |
+
"step": 14500
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 31.955922865013775,
|
496 |
+
"eval_accuracy": 0.7707761417519341,
|
497 |
+
"eval_f1_macro": 0.6291965084001815,
|
498 |
+
"eval_loss": 1.2486802339553833,
|
499 |
+
"eval_runtime": 33.8585,
|
500 |
+
"eval_samples_per_second": 236.691,
|
501 |
+
"eval_steps_per_second": 7.413,
|
502 |
+
"step": 14500
|
503 |
+
},
|
504 |
+
{
|
505 |
+
"epoch": 33.05785123966942,
|
506 |
+
"grad_norm": 4.138526439666748,
|
507 |
+
"learning_rate": 0.0002777777777777778,
|
508 |
+
"loss": 0.212,
|
509 |
+
"step": 15000
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 33.05785123966942,
|
513 |
+
"eval_accuracy": 0.7655353132018967,
|
514 |
+
"eval_f1_macro": 0.6182777113261247,
|
515 |
+
"eval_loss": 1.2596852779388428,
|
516 |
+
"eval_runtime": 33.8607,
|
517 |
+
"eval_samples_per_second": 236.675,
|
518 |
+
"eval_steps_per_second": 7.413,
|
519 |
+
"step": 15000
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 34.15977961432507,
|
523 |
+
"grad_norm": 4.644781112670898,
|
524 |
+
"learning_rate": 0.0002685185185185186,
|
525 |
+
"loss": 0.2003,
|
526 |
+
"step": 15500
|
527 |
+
},
|
528 |
+
{
|
529 |
+
"epoch": 34.15977961432507,
|
530 |
+
"eval_accuracy": 0.7730222111305216,
|
531 |
+
"eval_f1_macro": 0.6195180591624613,
|
532 |
+
"eval_loss": 1.2190001010894775,
|
533 |
+
"eval_runtime": 33.8524,
|
534 |
+
"eval_samples_per_second": 236.734,
|
535 |
+
"eval_steps_per_second": 7.415,
|
536 |
+
"step": 15500
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 35.26170798898072,
|
540 |
+
"grad_norm": 2.8191895484924316,
|
541 |
+
"learning_rate": 0.00025925925925925926,
|
542 |
+
"loss": 0.1822,
|
543 |
+
"step": 16000
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 35.26170798898072,
|
547 |
+
"eval_accuracy": 0.7781382580484153,
|
548 |
+
"eval_f1_macro": 0.6369508969483741,
|
549 |
+
"eval_loss": 1.2363426685333252,
|
550 |
+
"eval_runtime": 40.925,
|
551 |
+
"eval_samples_per_second": 195.822,
|
552 |
+
"eval_steps_per_second": 6.133,
|
553 |
+
"step": 16000
|
554 |
+
},
|
555 |
+
{
|
556 |
+
"epoch": 36.36363636363637,
|
557 |
+
"grad_norm": 4.859241962432861,
|
558 |
+
"learning_rate": 0.00025,
|
559 |
+
"loss": 0.1743,
|
560 |
+
"step": 16500
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 36.36363636363637,
|
564 |
+
"eval_accuracy": 0.777763913151984,
|
565 |
+
"eval_f1_macro": 0.6468738399385165,
|
566 |
+
"eval_loss": 1.2521047592163086,
|
567 |
+
"eval_runtime": 40.9791,
|
568 |
+
"eval_samples_per_second": 195.563,
|
569 |
+
"eval_steps_per_second": 6.125,
|
570 |
+
"step": 16500
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 37.46556473829201,
|
574 |
+
"grad_norm": 3.027918577194214,
|
575 |
+
"learning_rate": 0.00024074074074074072,
|
576 |
+
"loss": 0.1604,
|
577 |
+
"step": 17000
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 37.46556473829201,
|
581 |
+
"eval_accuracy": 0.7700274519590716,
|
582 |
+
"eval_f1_macro": 0.6320426231926091,
|
583 |
+
"eval_loss": 1.2722282409667969,
|
584 |
+
"eval_runtime": 41.0083,
|
585 |
+
"eval_samples_per_second": 195.424,
|
586 |
+
"eval_steps_per_second": 6.121,
|
587 |
+
"step": 17000
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 38.56749311294766,
|
591 |
+
"grad_norm": 5.677507400512695,
|
592 |
+
"learning_rate": 0.0002314814814814815,
|
593 |
+
"loss": 0.1523,
|
594 |
+
"step": 17500
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 38.56749311294766,
|
598 |
+
"eval_accuracy": 0.7745195907162465,
|
599 |
+
"eval_f1_macro": 0.6419239322758532,
|
600 |
+
"eval_loss": 1.2623705863952637,
|
601 |
+
"eval_runtime": 40.8771,
|
602 |
+
"eval_samples_per_second": 196.051,
|
603 |
+
"eval_steps_per_second": 6.14,
|
604 |
+
"step": 17500
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 39.66942148760331,
|
608 |
+
"grad_norm": 5.041018009185791,
|
609 |
+
"learning_rate": 0.0002222222222222222,
|
610 |
+
"loss": 0.1384,
|
611 |
+
"step": 18000
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 39.66942148760331,
|
615 |
+
"eval_accuracy": 0.7866234090341901,
|
616 |
+
"eval_f1_macro": 0.6659870204162003,
|
617 |
+
"eval_loss": 1.189522624015808,
|
618 |
+
"eval_runtime": 40.9611,
|
619 |
+
"eval_samples_per_second": 195.649,
|
620 |
+
"eval_steps_per_second": 6.128,
|
621 |
+
"step": 18000
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 40.77134986225895,
|
625 |
+
"grad_norm": 3.659827947616577,
|
626 |
+
"learning_rate": 0.00021296296296296298,
|
627 |
+
"loss": 0.135,
|
628 |
+
"step": 18500
|
629 |
+
},
|
630 |
+
{
|
631 |
+
"epoch": 40.77134986225895,
|
632 |
+
"eval_accuracy": 0.7850012478163214,
|
633 |
+
"eval_f1_macro": 0.6720105896795865,
|
634 |
+
"eval_loss": 1.1996605396270752,
|
635 |
+
"eval_runtime": 40.9502,
|
636 |
+
"eval_samples_per_second": 195.701,
|
637 |
+
"eval_steps_per_second": 6.129,
|
638 |
+
"step": 18500
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 41.8732782369146,
|
642 |
+
"grad_norm": 5.367224216461182,
|
643 |
+
"learning_rate": 0.0002037037037037037,
|
644 |
+
"loss": 0.1239,
|
645 |
+
"step": 19000
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 41.8732782369146,
|
649 |
+
"eval_accuracy": 0.7908659845270776,
|
650 |
+
"eval_f1_macro": 0.6804665897748318,
|
651 |
+
"eval_loss": 1.2242608070373535,
|
652 |
+
"eval_runtime": 40.9731,
|
653 |
+
"eval_samples_per_second": 195.592,
|
654 |
+
"eval_steps_per_second": 6.126,
|
655 |
+
"step": 19000
|
656 |
+
},
|
657 |
+
{
|
658 |
+
"epoch": 42.97520661157025,
|
659 |
+
"grad_norm": 3.64471173286438,
|
660 |
+
"learning_rate": 0.00019444444444444446,
|
661 |
+
"loss": 0.1131,
|
662 |
+
"step": 19500
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 42.97520661157025,
|
666 |
+
"eval_accuracy": 0.7947342151235338,
|
667 |
+
"eval_f1_macro": 0.653675258584708,
|
668 |
+
"eval_loss": 1.1854939460754395,
|
669 |
+
"eval_runtime": 40.6521,
|
670 |
+
"eval_samples_per_second": 197.136,
|
671 |
+
"eval_steps_per_second": 6.174,
|
672 |
+
"step": 19500
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 44.07713498622589,
|
676 |
+
"grad_norm": 7.800271987915039,
|
677 |
+
"learning_rate": 0.00018518518518518518,
|
678 |
+
"loss": 0.1076,
|
679 |
+
"step": 20000
|
680 |
+
},
|
681 |
+
{
|
682 |
+
"epoch": 44.07713498622589,
|
683 |
+
"eval_accuracy": 0.7879960069877714,
|
684 |
+
"eval_f1_macro": 0.6313626574356537,
|
685 |
+
"eval_loss": 1.2797794342041016,
|
686 |
+
"eval_runtime": 40.7712,
|
687 |
+
"eval_samples_per_second": 196.56,
|
688 |
+
"eval_steps_per_second": 6.156,
|
689 |
+
"step": 20000
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 45.17906336088154,
|
693 |
+
"grad_norm": 3.2701990604400635,
|
694 |
+
"learning_rate": 0.00017592592592592595,
|
695 |
+
"loss": 0.0999,
|
696 |
+
"step": 20500
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 45.17906336088154,
|
700 |
+
"eval_accuracy": 0.7922385824806588,
|
701 |
+
"eval_f1_macro": 0.6725445304133565,
|
702 |
+
"eval_loss": 1.2082223892211914,
|
703 |
+
"eval_runtime": 39.2309,
|
704 |
+
"eval_samples_per_second": 204.278,
|
705 |
+
"eval_steps_per_second": 6.398,
|
706 |
+
"step": 20500
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 46.28099173553719,
|
710 |
+
"grad_norm": 3.959247350692749,
|
711 |
+
"learning_rate": 0.00016666666666666666,
|
712 |
+
"loss": 0.0898,
|
713 |
+
"step": 21000
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 46.28099173553719,
|
717 |
+
"eval_accuracy": 0.80059895183429,
|
718 |
+
"eval_f1_macro": 0.6765711205444297,
|
719 |
+
"eval_loss": 1.1848937273025513,
|
720 |
+
"eval_runtime": 40.6064,
|
721 |
+
"eval_samples_per_second": 197.358,
|
722 |
+
"eval_steps_per_second": 6.181,
|
723 |
+
"step": 21000
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 47.382920110192835,
|
727 |
+
"grad_norm": 3.7939414978027344,
|
728 |
+
"learning_rate": 0.0001574074074074074,
|
729 |
+
"loss": 0.0861,
|
730 |
+
"step": 21500
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 47.382920110192835,
|
734 |
+
"eval_accuracy": 0.7979785375592713,
|
735 |
+
"eval_f1_macro": 0.6842554850331637,
|
736 |
+
"eval_loss": 1.177991509437561,
|
737 |
+
"eval_runtime": 40.9664,
|
738 |
+
"eval_samples_per_second": 195.624,
|
739 |
+
"eval_steps_per_second": 6.127,
|
740 |
+
"step": 21500
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 48.484848484848484,
|
744 |
+
"grad_norm": 2.4407143592834473,
|
745 |
+
"learning_rate": 0.00014814814814814815,
|
746 |
+
"loss": 0.0743,
|
747 |
+
"step": 22000
|
748 |
+
},
|
749 |
+
{
|
750 |
+
"epoch": 48.484848484848484,
|
751 |
+
"eval_accuracy": 0.8023458946843025,
|
752 |
+
"eval_f1_macro": 0.672574066052015,
|
753 |
+
"eval_loss": 1.23497474193573,
|
754 |
+
"eval_runtime": 40.9537,
|
755 |
+
"eval_samples_per_second": 195.684,
|
756 |
+
"eval_steps_per_second": 6.129,
|
757 |
+
"step": 22000
|
758 |
+
},
|
759 |
+
{
|
760 |
+
"epoch": 49.586776859504134,
|
761 |
+
"grad_norm": 1.4111738204956055,
|
762 |
+
"learning_rate": 0.0001388888888888889,
|
763 |
+
"loss": 0.0725,
|
764 |
+
"step": 22500
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 49.586776859504134,
|
768 |
+
"eval_accuracy": 0.8037184926378838,
|
769 |
+
"eval_f1_macro": 0.687093106679298,
|
770 |
+
"eval_loss": 1.1898678541183472,
|
771 |
+
"eval_runtime": 41.112,
|
772 |
+
"eval_samples_per_second": 194.931,
|
773 |
+
"eval_steps_per_second": 6.105,
|
774 |
+
"step": 22500
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 50.68870523415978,
|
778 |
+
"grad_norm": 2.446298122406006,
|
779 |
+
"learning_rate": 0.00012962962962962963,
|
780 |
+
"loss": 0.063,
|
781 |
+
"step": 23000
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"epoch": 50.68870523415978,
|
785 |
+
"eval_accuracy": 0.7988520089842776,
|
786 |
+
"eval_f1_macro": 0.6845006699400662,
|
787 |
+
"eval_loss": 1.2227065563201904,
|
788 |
+
"eval_runtime": 41.0323,
|
789 |
+
"eval_samples_per_second": 195.31,
|
790 |
+
"eval_steps_per_second": 6.117,
|
791 |
+
"step": 23000
|
792 |
+
},
|
793 |
+
{
|
794 |
+
"epoch": 51.790633608815426,
|
795 |
+
"grad_norm": 3.328188419342041,
|
796 |
+
"learning_rate": 0.00012037037037037036,
|
797 |
+
"loss": 0.061,
|
798 |
+
"step": 23500
|
799 |
+
},
|
800 |
+
{
|
801 |
+
"epoch": 51.790633608815426,
|
802 |
+
"eval_accuracy": 0.8082106313950587,
|
803 |
+
"eval_f1_macro": 0.6785356281203615,
|
804 |
+
"eval_loss": 1.1609222888946533,
|
805 |
+
"eval_runtime": 42.2613,
|
806 |
+
"eval_samples_per_second": 189.63,
|
807 |
+
"eval_steps_per_second": 5.939,
|
808 |
+
"step": 23500
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 52.892561983471076,
|
812 |
+
"grad_norm": 2.284496545791626,
|
813 |
+
"learning_rate": 0.0001111111111111111,
|
814 |
+
"loss": 0.056,
|
815 |
+
"step": 24000
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"epoch": 52.892561983471076,
|
819 |
+
"eval_accuracy": 0.8119540803593711,
|
820 |
+
"eval_f1_macro": 0.6977082191883057,
|
821 |
+
"eval_loss": 1.160672664642334,
|
822 |
+
"eval_runtime": 40.9648,
|
823 |
+
"eval_samples_per_second": 195.632,
|
824 |
+
"eval_steps_per_second": 6.127,
|
825 |
+
"step": 24000
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 53.99449035812672,
|
829 |
+
"grad_norm": 3.7205893993377686,
|
830 |
+
"learning_rate": 0.00010185185185185185,
|
831 |
+
"loss": 0.051,
|
832 |
+
"step": 24500
|
833 |
+
},
|
834 |
+
{
|
835 |
+
"epoch": 53.99449035812672,
|
836 |
+
"eval_accuracy": 0.8083354130272024,
|
837 |
+
"eval_f1_macro": 0.6629286097479332,
|
838 |
+
"eval_loss": 1.224273920059204,
|
839 |
+
"eval_runtime": 40.9557,
|
840 |
+
"eval_samples_per_second": 195.675,
|
841 |
+
"eval_steps_per_second": 6.129,
|
842 |
+
"step": 24500
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 55.09641873278237,
|
846 |
+
"grad_norm": 0.219478040933609,
|
847 |
+
"learning_rate": 9.259259259259259e-05,
|
848 |
+
"loss": 0.0447,
|
849 |
+
"step": 25000
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 55.09641873278237,
|
853 |
+
"eval_accuracy": 0.8098327926129274,
|
854 |
+
"eval_f1_macro": 0.666826551929984,
|
855 |
+
"eval_loss": 1.199051856994629,
|
856 |
+
"eval_runtime": 41.0107,
|
857 |
+
"eval_samples_per_second": 195.412,
|
858 |
+
"eval_steps_per_second": 6.12,
|
859 |
+
"step": 25000
|
860 |
+
},
|
861 |
+
{
|
862 |
+
"epoch": 56.19834710743802,
|
863 |
+
"grad_norm": 3.8260011672973633,
|
864 |
+
"learning_rate": 8.333333333333333e-05,
|
865 |
+
"loss": 0.0409,
|
866 |
+
"step": 25500
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 56.19834710743802,
|
870 |
+
"eval_accuracy": 0.8124532068879461,
|
871 |
+
"eval_f1_macro": 0.699449604989361,
|
872 |
+
"eval_loss": 1.2268598079681396,
|
873 |
+
"eval_runtime": 40.8996,
|
874 |
+
"eval_samples_per_second": 195.943,
|
875 |
+
"eval_steps_per_second": 6.137,
|
876 |
+
"step": 25500
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 57.30027548209367,
|
880 |
+
"grad_norm": 0.5541914105415344,
|
881 |
+
"learning_rate": 7.407407407407407e-05,
|
882 |
+
"loss": 0.039,
|
883 |
+
"step": 26000
|
884 |
+
},
|
885 |
+
{
|
886 |
+
"epoch": 57.30027548209367,
|
887 |
+
"eval_accuracy": 0.8215622660344397,
|
888 |
+
"eval_f1_macro": 0.6928701132826408,
|
889 |
+
"eval_loss": 1.1886591911315918,
|
890 |
+
"eval_runtime": 40.5313,
|
891 |
+
"eval_samples_per_second": 197.724,
|
892 |
+
"eval_steps_per_second": 6.193,
|
893 |
+
"step": 26000
|
894 |
+
}
|
895 |
+
],
|
896 |
+
"logging_steps": 500,
|
897 |
+
"max_steps": 30000,
|
898 |
+
"num_input_tokens_seen": 0,
|
899 |
+
"num_train_epochs": 67,
|
900 |
+
"save_steps": 1000,
|
901 |
+
"stateful_callbacks": {
|
902 |
+
"TrainerControl": {
|
903 |
+
"args": {
|
904 |
+
"should_epoch_stop": false,
|
905 |
+
"should_evaluate": false,
|
906 |
+
"should_log": false,
|
907 |
+
"should_save": true,
|
908 |
+
"should_training_stop": false
|
909 |
+
},
|
910 |
+
"attributes": {}
|
911 |
+
}
|
912 |
+
},
|
913 |
+
"total_flos": 1.5103646535813897e+20,
|
914 |
+
"train_batch_size": 32,
|
915 |
+
"trial_name": null,
|
916 |
+
"trial_params": null
|
917 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e1e7e8d962fba8418949e1365bf6d9bd403c8fe8015481536a1cd9d10372b363
|
3 |
+
size 5240
|