Hugging Face's logo

emre570
/
gemma-7b-us-minecraft

PEFT
Safetensors
gemma
Model card Files Community
gemma-7b-us-minecraft
File size: 4,487 Bytes 
b817dab
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 1.0,
  "eval_steps": 500,
  "global_step": 12500,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.04,
      "grad_norm": 2.125,
      "learning_rate": 9.603841536614646e-05,
      "loss": 1.8394,
      "step": 500
    },
    {
      "epoch": 0.08,
      "grad_norm": 2.046875,
      "learning_rate": 9.203681472589036e-05,
      "loss": 1.3706,
      "step": 1000
    },
    {
      "epoch": 0.12,
      "grad_norm": 1.8984375,
      "learning_rate": 8.803521408563425e-05,
      "loss": 1.3084,
      "step": 1500
    },
    {
      "epoch": 0.16,
      "grad_norm": 2.046875,
      "learning_rate": 8.403361344537815e-05,
      "loss": 1.2739,
      "step": 2000
    },
    {
      "epoch": 0.2,
      "grad_norm": 1.734375,
      "learning_rate": 8.003201280512204e-05,
      "loss": 1.2551,
      "step": 2500
    },
    {
      "epoch": 0.24,
      "grad_norm": 2.671875,
      "learning_rate": 7.603041216486595e-05,
      "loss": 1.2183,
      "step": 3000
    },
    {
      "epoch": 0.28,
      "grad_norm": 1.7421875,
      "learning_rate": 7.202881152460985e-05,
      "loss": 1.1962,
      "step": 3500
    },
    {
      "epoch": 0.32,
      "grad_norm": 1.8828125,
      "learning_rate": 6.802721088435374e-05,
      "loss": 1.1709,
      "step": 4000
    },
    {
      "epoch": 0.36,
      "grad_norm": 1.9765625,
      "learning_rate": 6.402561024409764e-05,
      "loss": 1.1534,
      "step": 4500
    },
    {
      "epoch": 0.4,
      "grad_norm": 2.078125,
      "learning_rate": 6.002400960384153e-05,
      "loss": 1.1418,
      "step": 5000
    },
    {
      "epoch": 0.44,
      "grad_norm": 2.765625,
      "learning_rate": 5.6022408963585436e-05,
      "loss": 1.1375,
      "step": 5500
    },
    {
      "epoch": 0.48,
      "grad_norm": 1.9453125,
      "learning_rate": 5.202080832332934e-05,
      "loss": 1.1271,
      "step": 6000
    },
    {
      "epoch": 0.52,
      "grad_norm": 1.9453125,
      "learning_rate": 4.801920768307323e-05,
      "loss": 1.0945,
      "step": 6500
    },
    {
      "epoch": 0.56,
      "grad_norm": 2.03125,
      "learning_rate": 4.4017607042817125e-05,
      "loss": 1.106,
      "step": 7000
    },
    {
      "epoch": 0.6,
      "grad_norm": 2.296875,
      "learning_rate": 4.001600640256102e-05,
      "loss": 1.0835,
      "step": 7500
    },
    {
      "epoch": 0.64,
      "grad_norm": 1.90625,
      "learning_rate": 3.6014405762304925e-05,
      "loss": 1.0687,
      "step": 8000
    },
    {
      "epoch": 0.68,
      "grad_norm": 2.15625,
      "learning_rate": 3.201280512204882e-05,
      "loss": 1.0637,
      "step": 8500
    },
    {
      "epoch": 0.72,
      "grad_norm": 1.8984375,
      "learning_rate": 2.8011204481792718e-05,
      "loss": 1.0477,
      "step": 9000
    },
    {
      "epoch": 0.76,
      "grad_norm": 2.546875,
      "learning_rate": 2.4009603841536614e-05,
      "loss": 1.0494,
      "step": 9500
    },
    {
      "epoch": 0.8,
      "grad_norm": 1.890625,
      "learning_rate": 2.000800320128051e-05,
      "loss": 1.0529,
      "step": 10000
    },
    {
      "epoch": 0.84,
      "grad_norm": 1.6484375,
      "learning_rate": 1.600640256102441e-05,
      "loss": 1.0219,
      "step": 10500
    },
    {
      "epoch": 0.88,
      "grad_norm": 1.8359375,
      "learning_rate": 1.2004801920768307e-05,
      "loss": 1.0338,
      "step": 11000
    },
    {
      "epoch": 0.92,
      "grad_norm": 2.125,
      "learning_rate": 8.003201280512205e-06,
      "loss": 1.0454,
      "step": 11500
    },
    {
      "epoch": 0.96,
      "grad_norm": 1.828125,
      "learning_rate": 4.001600640256103e-06,
      "loss": 1.0405,
      "step": 12000
    },
    {
      "epoch": 1.0,
      "grad_norm": 1.8359375,
      "learning_rate": 0.0,
      "loss": 1.0363,
      "step": 12500
    }
  ],
  "logging_steps": 500,
  "max_steps": 12500,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 5.596194976892191e+17,
  "train_batch_size": 4,
  "trial_name": null,
  "trial_params": null
}