bitwisemind commited on
Commit
2d34418
·
verified ·
1 Parent(s): a83c4aa

Checkpoint at step 1185

Browse files
checkpoint-1185/README.md ADDED
@@ -0,0 +1,206 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: bengaliAI/tugstugi_bengaliai-regional-asr_whisper-medium
3
+ library_name: peft
4
+ tags:
5
+ - base_model:adapter:bengaliAI/tugstugi_bengaliai-regional-asr_whisper-medium
6
+ - lora
7
+ - transformers
8
+ ---
9
+
10
+ # Model Card for Model ID
11
+
12
+ <!-- Provide a quick summary of what the model is/does. -->
13
+
14
+
15
+
16
+ ## Model Details
17
+
18
+ ### Model Description
19
+
20
+ <!-- Provide a longer summary of what this model is. -->
21
+
22
+
23
+
24
+ - **Developed by:** [More Information Needed]
25
+ - **Funded by [optional]:** [More Information Needed]
26
+ - **Shared by [optional]:** [More Information Needed]
27
+ - **Model type:** [More Information Needed]
28
+ - **Language(s) (NLP):** [More Information Needed]
29
+ - **License:** [More Information Needed]
30
+ - **Finetuned from model [optional]:** [More Information Needed]
31
+
32
+ ### Model Sources [optional]
33
+
34
+ <!-- Provide the basic links for the model. -->
35
+
36
+ - **Repository:** [More Information Needed]
37
+ - **Paper [optional]:** [More Information Needed]
38
+ - **Demo [optional]:** [More Information Needed]
39
+
40
+ ## Uses
41
+
42
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
43
+
44
+ ### Direct Use
45
+
46
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
47
+
48
+ [More Information Needed]
49
+
50
+ ### Downstream Use [optional]
51
+
52
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
53
+
54
+ [More Information Needed]
55
+
56
+ ### Out-of-Scope Use
57
+
58
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
59
+
60
+ [More Information Needed]
61
+
62
+ ## Bias, Risks, and Limitations
63
+
64
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
65
+
66
+ [More Information Needed]
67
+
68
+ ### Recommendations
69
+
70
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
71
+
72
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
73
+
74
+ ## How to Get Started with the Model
75
+
76
+ Use the code below to get started with the model.
77
+
78
+ [More Information Needed]
79
+
80
+ ## Training Details
81
+
82
+ ### Training Data
83
+
84
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
85
+
86
+ [More Information Needed]
87
+
88
+ ### Training Procedure
89
+
90
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
91
+
92
+ #### Preprocessing [optional]
93
+
94
+ [More Information Needed]
95
+
96
+
97
+ #### Training Hyperparameters
98
+
99
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
100
+
101
+ #### Speeds, Sizes, Times [optional]
102
+
103
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
104
+
105
+ [More Information Needed]
106
+
107
+ ## Evaluation
108
+
109
+ <!-- This section describes the evaluation protocols and provides the results. -->
110
+
111
+ ### Testing Data, Factors & Metrics
112
+
113
+ #### Testing Data
114
+
115
+ <!-- This should link to a Dataset Card if possible. -->
116
+
117
+ [More Information Needed]
118
+
119
+ #### Factors
120
+
121
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
122
+
123
+ [More Information Needed]
124
+
125
+ #### Metrics
126
+
127
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
128
+
129
+ [More Information Needed]
130
+
131
+ ### Results
132
+
133
+ [More Information Needed]
134
+
135
+ #### Summary
136
+
137
+
138
+
139
+ ## Model Examination [optional]
140
+
141
+ <!-- Relevant interpretability work for the model goes here -->
142
+
143
+ [More Information Needed]
144
+
145
+ ## Environmental Impact
146
+
147
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
148
+
149
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
150
+
151
+ - **Hardware Type:** [More Information Needed]
152
+ - **Hours used:** [More Information Needed]
153
+ - **Cloud Provider:** [More Information Needed]
154
+ - **Compute Region:** [More Information Needed]
155
+ - **Carbon Emitted:** [More Information Needed]
156
+
157
+ ## Technical Specifications [optional]
158
+
159
+ ### Model Architecture and Objective
160
+
161
+ [More Information Needed]
162
+
163
+ ### Compute Infrastructure
164
+
165
+ [More Information Needed]
166
+
167
+ #### Hardware
168
+
169
+ [More Information Needed]
170
+
171
+ #### Software
172
+
173
+ [More Information Needed]
174
+
175
+ ## Citation [optional]
176
+
177
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
178
+
179
+ **BibTeX:**
180
+
181
+ [More Information Needed]
182
+
183
+ **APA:**
184
+
185
+ [More Information Needed]
186
+
187
+ ## Glossary [optional]
188
+
189
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
190
+
191
+ [More Information Needed]
192
+
193
+ ## More Information [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Authors [optional]
198
+
199
+ [More Information Needed]
200
+
201
+ ## Model Card Contact
202
+
203
+ [More Information Needed]
204
+ ### Framework versions
205
+
206
+ - PEFT 0.18.2.dev0
checkpoint-1185/adapter_config.json ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alora_invocation_tokens": null,
3
+ "alpha_pattern": {},
4
+ "arrow_config": null,
5
+ "auto_mapping": {
6
+ "base_model_class": "WhisperForConditionalGeneration",
7
+ "parent_library": "transformers.models.whisper.modeling_whisper"
8
+ },
9
+ "base_model_name_or_path": "bengaliAI/tugstugi_bengaliai-regional-asr_whisper-medium",
10
+ "bias": "none",
11
+ "corda_config": null,
12
+ "ensure_weight_tying": false,
13
+ "eva_config": null,
14
+ "exclude_modules": null,
15
+ "fan_in_fan_out": false,
16
+ "inference_mode": true,
17
+ "init_lora_weights": true,
18
+ "layer_replication": null,
19
+ "layers_pattern": null,
20
+ "layers_to_transform": null,
21
+ "loftq_config": {},
22
+ "lora_alpha": 64,
23
+ "lora_bias": false,
24
+ "lora_dropout": 0.05,
25
+ "lora_ga_config": null,
26
+ "megatron_config": null,
27
+ "megatron_core": "megatron.core",
28
+ "modules_to_save": null,
29
+ "peft_type": "LORA",
30
+ "peft_version": "0.18.2.dev0@2cd96ed041620f74d239a0ce3f16207153c43413",
31
+ "qalora_group_size": 16,
32
+ "r": 32,
33
+ "rank_pattern": {},
34
+ "revision": null,
35
+ "target_modules": [
36
+ "q_proj",
37
+ "v_proj"
38
+ ],
39
+ "target_parameters": null,
40
+ "task_type": null,
41
+ "trainable_token_indices": null,
42
+ "use_bdlora": null,
43
+ "use_dora": false,
44
+ "use_qalora": false,
45
+ "use_rslora": false
46
+ }
checkpoint-1185/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:109df1d0615299aba3c3ffd0a8e13b7c6e6bcde41c4db4456052a2c184ecb1ab
3
+ size 37789960
checkpoint-1185/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0c025db96c86f3a58cb6321879bbd5e71570f4112a9ecc2ca192954694c7ebad
3
+ size 50493579
checkpoint-1185/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-1185/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eea592f41a216de8baf9bd7f222e6879b59d411c2a0951b55064d5138906bd03
3
+ size 14645
checkpoint-1185/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1bb0876c39854eadc63f275de26f98c424b718bb5df66765c0f0fa629829632b
3
+ size 1465
checkpoint-1185/trainer_state.json ADDED
@@ -0,0 +1,407 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 37.68099852505035,
3
+ "best_model_checkpoint": "./whisper-lora-10k-adapters/checkpoint-711",
4
+ "epoch": 1.3875878220140514,
5
+ "eval_steps": 237,
6
+ "global_step": 1185,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.02927400468384075,
13
+ "grad_norm": 0.578233540058136,
14
+ "learning_rate": 0.0005,
15
+ "loss": 0.99,
16
+ "step": 25
17
+ },
18
+ {
19
+ "epoch": 0.0585480093676815,
20
+ "grad_norm": 0.3136115074157715,
21
+ "learning_rate": 0.001,
22
+ "loss": 0.7869,
23
+ "step": 50
24
+ },
25
+ {
26
+ "epoch": 0.08782201405152225,
27
+ "grad_norm": 0.3556165397167206,
28
+ "learning_rate": 0.0009940758293838863,
29
+ "loss": 0.6559,
30
+ "step": 75
31
+ },
32
+ {
33
+ "epoch": 0.117096018735363,
34
+ "grad_norm": 0.43047836422920227,
35
+ "learning_rate": 0.0009881516587677726,
36
+ "loss": 0.6799,
37
+ "step": 100
38
+ },
39
+ {
40
+ "epoch": 0.14637002341920374,
41
+ "grad_norm": 0.41161859035491943,
42
+ "learning_rate": 0.0009822274881516586,
43
+ "loss": 0.6179,
44
+ "step": 125
45
+ },
46
+ {
47
+ "epoch": 0.1756440281030445,
48
+ "grad_norm": 0.3486640453338623,
49
+ "learning_rate": 0.000976303317535545,
50
+ "loss": 0.6218,
51
+ "step": 150
52
+ },
53
+ {
54
+ "epoch": 0.20491803278688525,
55
+ "grad_norm": 0.33961209654808044,
56
+ "learning_rate": 0.0009703791469194313,
57
+ "loss": 0.5623,
58
+ "step": 175
59
+ },
60
+ {
61
+ "epoch": 0.234192037470726,
62
+ "grad_norm": 0.4211539328098297,
63
+ "learning_rate": 0.0009644549763033176,
64
+ "loss": 0.6293,
65
+ "step": 200
66
+ },
67
+ {
68
+ "epoch": 0.26346604215456676,
69
+ "grad_norm": 0.4401342272758484,
70
+ "learning_rate": 0.0009585308056872039,
71
+ "loss": 0.65,
72
+ "step": 225
73
+ },
74
+ {
75
+ "epoch": 0.2775175644028103,
76
+ "eval_loss": 0.6182317733764648,
77
+ "eval_runtime": 12305.8898,
78
+ "eval_samples_per_second": 0.123,
79
+ "eval_steps_per_second": 0.008,
80
+ "eval_wer": 42.11536326582399,
81
+ "step": 237
82
+ },
83
+ {
84
+ "epoch": 0.2927400468384075,
85
+ "grad_norm": 0.5222854614257812,
86
+ "learning_rate": 0.0009526066350710901,
87
+ "loss": 0.6494,
88
+ "step": 250
89
+ },
90
+ {
91
+ "epoch": 0.32201405152224827,
92
+ "grad_norm": 0.5739536285400391,
93
+ "learning_rate": 0.0009466824644549763,
94
+ "loss": 0.5656,
95
+ "step": 275
96
+ },
97
+ {
98
+ "epoch": 0.351288056206089,
99
+ "grad_norm": 0.4213266968727112,
100
+ "learning_rate": 0.0009407582938388626,
101
+ "loss": 0.5781,
102
+ "step": 300
103
+ },
104
+ {
105
+ "epoch": 0.3805620608899297,
106
+ "grad_norm": 0.5185717344284058,
107
+ "learning_rate": 0.0009348341232227489,
108
+ "loss": 0.5993,
109
+ "step": 325
110
+ },
111
+ {
112
+ "epoch": 0.4098360655737705,
113
+ "grad_norm": 0.41156110167503357,
114
+ "learning_rate": 0.0009289099526066352,
115
+ "loss": 0.5504,
116
+ "step": 350
117
+ },
118
+ {
119
+ "epoch": 0.43911007025761123,
120
+ "grad_norm": 0.44983068108558655,
121
+ "learning_rate": 0.0009229857819905212,
122
+ "loss": 0.642,
123
+ "step": 375
124
+ },
125
+ {
126
+ "epoch": 0.468384074941452,
127
+ "grad_norm": 0.7018289566040039,
128
+ "learning_rate": 0.0009170616113744075,
129
+ "loss": 0.6313,
130
+ "step": 400
131
+ },
132
+ {
133
+ "epoch": 0.49765807962529274,
134
+ "grad_norm": 0.41570019721984863,
135
+ "learning_rate": 0.0009111374407582938,
136
+ "loss": 0.642,
137
+ "step": 425
138
+ },
139
+ {
140
+ "epoch": 0.5269320843091335,
141
+ "grad_norm": 0.2906375229358673,
142
+ "learning_rate": 0.0009052132701421801,
143
+ "loss": 0.5501,
144
+ "step": 450
145
+ },
146
+ {
147
+ "epoch": 0.5550351288056206,
148
+ "eval_loss": 0.5893104076385498,
149
+ "eval_runtime": 12217.9829,
150
+ "eval_samples_per_second": 0.124,
151
+ "eval_steps_per_second": 0.008,
152
+ "eval_wer": 39.71420868158533,
153
+ "step": 474
154
+ },
155
+ {
156
+ "epoch": 0.5562060889929742,
157
+ "grad_norm": 0.42602404952049255,
158
+ "learning_rate": 0.0008992890995260664,
159
+ "loss": 0.6419,
160
+ "step": 475
161
+ },
162
+ {
163
+ "epoch": 0.585480093676815,
164
+ "grad_norm": 0.45508912205696106,
165
+ "learning_rate": 0.0008933649289099525,
166
+ "loss": 0.5816,
167
+ "step": 500
168
+ },
169
+ {
170
+ "epoch": 0.6147540983606558,
171
+ "grad_norm": 0.5000929236412048,
172
+ "learning_rate": 0.0008874407582938388,
173
+ "loss": 0.6941,
174
+ "step": 525
175
+ },
176
+ {
177
+ "epoch": 0.6440281030444965,
178
+ "grad_norm": 0.4415169656276703,
179
+ "learning_rate": 0.0008815165876777251,
180
+ "loss": 0.5615,
181
+ "step": 550
182
+ },
183
+ {
184
+ "epoch": 0.6733021077283372,
185
+ "grad_norm": 0.5120753049850464,
186
+ "learning_rate": 0.0008755924170616114,
187
+ "loss": 0.559,
188
+ "step": 575
189
+ },
190
+ {
191
+ "epoch": 0.702576112412178,
192
+ "grad_norm": 0.3653784990310669,
193
+ "learning_rate": 0.0008696682464454977,
194
+ "loss": 0.5836,
195
+ "step": 600
196
+ },
197
+ {
198
+ "epoch": 0.7318501170960188,
199
+ "grad_norm": 0.5504665374755859,
200
+ "learning_rate": 0.0008637440758293838,
201
+ "loss": 0.6163,
202
+ "step": 625
203
+ },
204
+ {
205
+ "epoch": 0.7611241217798594,
206
+ "grad_norm": 0.49855440855026245,
207
+ "learning_rate": 0.0008578199052132701,
208
+ "loss": 0.5482,
209
+ "step": 650
210
+ },
211
+ {
212
+ "epoch": 0.7903981264637002,
213
+ "grad_norm": 0.3784034848213196,
214
+ "learning_rate": 0.0008518957345971564,
215
+ "loss": 0.5572,
216
+ "step": 675
217
+ },
218
+ {
219
+ "epoch": 0.819672131147541,
220
+ "grad_norm": 0.5111596584320068,
221
+ "learning_rate": 0.0008459715639810427,
222
+ "loss": 0.565,
223
+ "step": 700
224
+ },
225
+ {
226
+ "epoch": 0.832552693208431,
227
+ "eval_loss": 0.5823442339897156,
228
+ "eval_runtime": 12225.5714,
229
+ "eval_samples_per_second": 0.124,
230
+ "eval_steps_per_second": 0.008,
231
+ "eval_wer": 37.68099852505035,
232
+ "step": 711
233
+ },
234
+ {
235
+ "epoch": 0.8489461358313818,
236
+ "grad_norm": 0.5943437218666077,
237
+ "learning_rate": 0.000840047393364929,
238
+ "loss": 0.5146,
239
+ "step": 725
240
+ },
241
+ {
242
+ "epoch": 0.8782201405152225,
243
+ "grad_norm": 0.5228826403617859,
244
+ "learning_rate": 0.0008341232227488151,
245
+ "loss": 0.5338,
246
+ "step": 750
247
+ },
248
+ {
249
+ "epoch": 0.9074941451990632,
250
+ "grad_norm": 0.44550982117652893,
251
+ "learning_rate": 0.0008281990521327014,
252
+ "loss": 0.5631,
253
+ "step": 775
254
+ },
255
+ {
256
+ "epoch": 0.936768149882904,
257
+ "grad_norm": 0.5326892733573914,
258
+ "learning_rate": 0.0008222748815165877,
259
+ "loss": 0.5489,
260
+ "step": 800
261
+ },
262
+ {
263
+ "epoch": 0.9660421545667447,
264
+ "grad_norm": 0.5083812475204468,
265
+ "learning_rate": 0.000816350710900474,
266
+ "loss": 0.5336,
267
+ "step": 825
268
+ },
269
+ {
270
+ "epoch": 0.9953161592505855,
271
+ "grad_norm": 0.4346718192100525,
272
+ "learning_rate": 0.0008104265402843603,
273
+ "loss": 0.6155,
274
+ "step": 850
275
+ },
276
+ {
277
+ "epoch": 1.0245901639344261,
278
+ "grad_norm": 0.4419436454772949,
279
+ "learning_rate": 0.0008045023696682464,
280
+ "loss": 0.5506,
281
+ "step": 875
282
+ },
283
+ {
284
+ "epoch": 1.053864168618267,
285
+ "grad_norm": 0.5935924649238586,
286
+ "learning_rate": 0.0007985781990521327,
287
+ "loss": 0.5407,
288
+ "step": 900
289
+ },
290
+ {
291
+ "epoch": 1.0831381733021077,
292
+ "grad_norm": 0.4228830635547638,
293
+ "learning_rate": 0.000792654028436019,
294
+ "loss": 0.5527,
295
+ "step": 925
296
+ },
297
+ {
298
+ "epoch": 1.1100702576112411,
299
+ "eval_loss": 0.5060898065567017,
300
+ "eval_runtime": 12332.7416,
301
+ "eval_samples_per_second": 0.123,
302
+ "eval_steps_per_second": 0.008,
303
+ "eval_wer": 37.76065419091052,
304
+ "step": 948
305
+ },
306
+ {
307
+ "epoch": 1.1124121779859484,
308
+ "grad_norm": 0.37129494547843933,
309
+ "learning_rate": 0.0007867298578199053,
310
+ "loss": 0.5191,
311
+ "step": 950
312
+ },
313
+ {
314
+ "epoch": 1.1416861826697893,
315
+ "grad_norm": 0.7254778146743774,
316
+ "learning_rate": 0.0007808056872037916,
317
+ "loss": 0.5537,
318
+ "step": 975
319
+ },
320
+ {
321
+ "epoch": 1.17096018735363,
322
+ "grad_norm": 0.4878183603286743,
323
+ "learning_rate": 0.0007748815165876777,
324
+ "loss": 0.5281,
325
+ "step": 1000
326
+ },
327
+ {
328
+ "epoch": 1.2002341920374708,
329
+ "grad_norm": 0.35084593296051025,
330
+ "learning_rate": 0.000768957345971564,
331
+ "loss": 0.5166,
332
+ "step": 1025
333
+ },
334
+ {
335
+ "epoch": 1.2295081967213115,
336
+ "grad_norm": 0.5030648708343506,
337
+ "learning_rate": 0.0007630331753554502,
338
+ "loss": 0.5284,
339
+ "step": 1050
340
+ },
341
+ {
342
+ "epoch": 1.2587822014051522,
343
+ "grad_norm": 0.5004339218139648,
344
+ "learning_rate": 0.0007571090047393365,
345
+ "loss": 0.5695,
346
+ "step": 1075
347
+ },
348
+ {
349
+ "epoch": 1.288056206088993,
350
+ "grad_norm": 0.5789551734924316,
351
+ "learning_rate": 0.0007511848341232228,
352
+ "loss": 0.5511,
353
+ "step": 1100
354
+ },
355
+ {
356
+ "epoch": 1.3173302107728337,
357
+ "grad_norm": 0.389371782541275,
358
+ "learning_rate": 0.0007452606635071089,
359
+ "loss": 0.5661,
360
+ "step": 1125
361
+ },
362
+ {
363
+ "epoch": 1.3466042154566744,
364
+ "grad_norm": 0.38161447644233704,
365
+ "learning_rate": 0.0007393364928909952,
366
+ "loss": 0.5087,
367
+ "step": 1150
368
+ },
369
+ {
370
+ "epoch": 1.3758782201405153,
371
+ "grad_norm": 0.40263721346855164,
372
+ "learning_rate": 0.0007334123222748815,
373
+ "loss": 0.5147,
374
+ "step": 1175
375
+ },
376
+ {
377
+ "epoch": 1.3875878220140514,
378
+ "eval_loss": 0.5079419016838074,
379
+ "eval_runtime": 12322.9428,
380
+ "eval_samples_per_second": 0.123,
381
+ "eval_steps_per_second": 0.008,
382
+ "eval_wer": 38.37238559521937,
383
+ "step": 1185
384
+ }
385
+ ],
386
+ "logging_steps": 25,
387
+ "max_steps": 4270,
388
+ "num_input_tokens_seen": 0,
389
+ "num_train_epochs": 5,
390
+ "save_steps": 237,
391
+ "stateful_callbacks": {
392
+ "TrainerControl": {
393
+ "args": {
394
+ "should_epoch_stop": false,
395
+ "should_evaluate": false,
396
+ "should_log": false,
397
+ "should_save": true,
398
+ "should_training_stop": false
399
+ },
400
+ "attributes": {}
401
+ }
402
+ },
403
+ "total_flos": 1.96083268190208e+19,
404
+ "train_batch_size": 16,
405
+ "trial_name": null,
406
+ "trial_params": null
407
+ }
checkpoint-1185/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a0a29cd4ef0d2b3c4115887d9131962a26b3f4a8781ff832f1d6345254c8e0c8
3
+ size 5841