Hugging Face's logo

lleticiasilvaa
/
TinyLlama-1.1B-Chat-SchemaLinking-v1

PEFT
TensorBoard
Safetensors
trl
sft
Generated from Trainer
Model card Files Metrics Community
TinyLlama-1.1B-Chat-SchemaLinking-v1
File size: 6,985 Bytes 
be55f2f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 3.734624810362936,
  "eval_steps": 250,
  "global_step": 4000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.2333994631812347,
      "grad_norm": 1.2788289785385132,
      "learning_rate": 9.992757124875143e-05,
      "loss": 0.3573,
      "step": 250
    },
    {
      "epoch": 0.2333994631812347,
      "eval_loss": 0.18718622624874115,
      "eval_runtime": 18.4863,
      "eval_samples_per_second": 4.706,
      "eval_steps_per_second": 4.706,
      "step": 250
    },
    {
      "epoch": 0.4667989263624694,
      "grad_norm": 1.7301123142242432,
      "learning_rate": 9.895259863857224e-05,
      "loss": 0.1155,
      "step": 500
    },
    {
      "epoch": 0.4667989263624694,
      "eval_loss": 0.11222057044506073,
      "eval_runtime": 18.4689,
      "eval_samples_per_second": 4.711,
      "eval_steps_per_second": 4.711,
      "step": 500
    },
    {
      "epoch": 0.7001983895437041,
      "grad_norm": 0.40849488973617554,
      "learning_rate": 9.686044398977847e-05,
      "loss": 0.079,
      "step": 750
    },
    {
      "epoch": 0.7001983895437041,
      "eval_loss": 0.0827888771891594,
      "eval_runtime": 18.4255,
      "eval_samples_per_second": 4.722,
      "eval_steps_per_second": 4.722,
      "step": 750
    },
    {
      "epoch": 0.9335978527249388,
      "grad_norm": 0.27379560470581055,
      "learning_rate": 9.369885385026829e-05,
      "loss": 0.0672,
      "step": 1000
    },
    {
      "epoch": 0.9335978527249388,
      "eval_loss": 0.07405883818864822,
      "eval_runtime": 18.0866,
      "eval_samples_per_second": 4.81,
      "eval_steps_per_second": 4.81,
      "step": 1000
    },
    {
      "epoch": 1.1669973159061735,
      "grad_norm": 0.15424582362174988,
      "learning_rate": 8.953998111520053e-05,
      "loss": 0.0555,
      "step": 1250
    },
    {
      "epoch": 1.1669973159061735,
      "eval_loss": 0.07201890647411346,
      "eval_runtime": 18.1777,
      "eval_samples_per_second": 4.786,
      "eval_steps_per_second": 4.786,
      "step": 1250
    },
    {
      "epoch": 1.4003967790874081,
      "grad_norm": 0.1671038419008255,
      "learning_rate": 8.447873837450339e-05,
      "loss": 0.055,
      "step": 1500
    },
    {
      "epoch": 1.4003967790874081,
      "eval_loss": 0.07005530595779419,
      "eval_runtime": 18.0977,
      "eval_samples_per_second": 4.807,
      "eval_steps_per_second": 4.807,
      "step": 1500
    },
    {
      "epoch": 1.6337962422686427,
      "grad_norm": 0.12481052428483963,
      "learning_rate": 7.863063184521596e-05,
      "loss": 0.053,
      "step": 1750
    },
    {
      "epoch": 1.6337962422686427,
      "eval_loss": 0.06806331127882004,
      "eval_runtime": 18.1718,
      "eval_samples_per_second": 4.788,
      "eval_steps_per_second": 4.788,
      "step": 1750
    },
    {
      "epoch": 1.8671957054498773,
      "grad_norm": 0.14744804799556732,
      "learning_rate": 7.212912532203201e-05,
      "loss": 0.0526,
      "step": 2000
    },
    {
      "epoch": 1.8671957054498773,
      "eval_loss": 0.06636130809783936,
      "eval_runtime": 18.0865,
      "eval_samples_per_second": 4.81,
      "eval_steps_per_second": 4.81,
      "step": 2000
    },
    {
      "epoch": 2.100595168631112,
      "grad_norm": 0.07688289880752563,
      "learning_rate": 6.51225943052036e-05,
      "loss": 0.047,
      "step": 2250
    },
    {
      "epoch": 2.100595168631112,
      "eval_loss": 0.06469345092773438,
      "eval_runtime": 18.051,
      "eval_samples_per_second": 4.82,
      "eval_steps_per_second": 4.82,
      "step": 2250
    },
    {
      "epoch": 2.333994631812347,
      "grad_norm": 0.09491775184869766,
      "learning_rate": 5.777093981781615e-05,
      "loss": 0.0406,
      "step": 2500
    },
    {
      "epoch": 2.333994631812347,
      "eval_loss": 0.06455763429403305,
      "eval_runtime": 18.0482,
      "eval_samples_per_second": 4.82,
      "eval_steps_per_second": 4.82,
      "step": 2500
    },
    {
      "epoch": 2.5673940949935816,
      "grad_norm": 0.09282498061656952,
      "learning_rate": 5.024193919091694e-05,
      "loss": 0.0411,
      "step": 2750
    },
    {
      "epoch": 2.5673940949935816,
      "eval_loss": 0.062036558985710144,
      "eval_runtime": 18.1073,
      "eval_samples_per_second": 4.805,
      "eval_steps_per_second": 4.805,
      "step": 2750
    },
    {
      "epoch": 2.8010269576379976,
      "grad_norm": 0.08291701227426529,
      "learning_rate": 4.270741709782294e-05,
      "loss": 0.0352,
      "step": 3000
    },
    {
      "epoch": 2.8010269576379976,
      "eval_loss": 0.06604798883199692,
      "eval_runtime": 17.9809,
      "eval_samples_per_second": 4.838,
      "eval_steps_per_second": 4.838,
      "step": 3000
    },
    {
      "epoch": 3.034426420819232,
      "grad_norm": 0.19006969034671783,
      "learning_rate": 3.533932422115467e-05,
      "loss": 0.0337,
      "step": 3250
    },
    {
      "epoch": 3.034426420819232,
      "eval_loss": 0.06463699042797089,
      "eval_runtime": 18.651,
      "eval_samples_per_second": 4.665,
      "eval_steps_per_second": 4.665,
      "step": 3250
    },
    {
      "epoch": 3.267825884000467,
      "grad_norm": 0.25927212834358215,
      "learning_rate": 2.8305813044122097e-05,
      "loss": 0.0326,
      "step": 3500
    },
    {
      "epoch": 3.267825884000467,
      "eval_loss": 0.06334705650806427,
      "eval_runtime": 18.2494,
      "eval_samples_per_second": 4.767,
      "eval_steps_per_second": 4.767,
      "step": 3500
    },
    {
      "epoch": 3.5012253471817014,
      "grad_norm": 0.16726678609848022,
      "learning_rate": 2.1767400323218395e-05,
      "loss": 0.0323,
      "step": 3750
    },
    {
      "epoch": 3.5012253471817014,
      "eval_loss": 0.06246271729469299,
      "eval_runtime": 18.773,
      "eval_samples_per_second": 4.634,
      "eval_steps_per_second": 4.634,
      "step": 3750
    },
    {
      "epoch": 3.734624810362936,
      "grad_norm": 0.17899206280708313,
      "learning_rate": 1.587330382125886e-05,
      "loss": 0.0321,
      "step": 4000
    },
    {
      "epoch": 3.734624810362936,
      "eval_loss": 0.06137511879205704,
      "eval_runtime": 18.2283,
      "eval_samples_per_second": 4.773,
      "eval_steps_per_second": 4.773,
      "step": 4000
    }
  ],
  "logging_steps": 250,
  "max_steps": 5355,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 250,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 1.447917200076718e+17,
  "train_batch_size": 1,
  "trial_name": null,
  "trial_params": null
}