TinyPixel commited on
Commit
70e50be
1 Parent(s): 3e3c32c

Upload folder using huggingface_hub

Browse files
adapter_config.json CHANGED
@@ -19,13 +19,13 @@
19
  "rank_pattern": {},
20
  "revision": null,
21
  "target_modules": [
22
- "down_proj",
23
  "o_proj",
24
- "gate_proj",
25
- "q_proj",
26
  "k_proj",
 
 
27
  "v_proj",
28
- "up_proj"
 
29
  ],
30
  "task_type": "CAUSAL_LM",
31
  "use_rslora": false
 
19
  "rank_pattern": {},
20
  "revision": null,
21
  "target_modules": [
 
22
  "o_proj",
 
 
23
  "k_proj",
24
+ "down_proj",
25
+ "up_proj",
26
  "v_proj",
27
+ "gate_proj",
28
+ "q_proj"
29
  ],
30
  "task_type": "CAUSAL_LM",
31
  "use_rslora": false
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9f092c94a07f4d55cd5d7a00ec213432c151abe8f78711028fd6aa9654fe8baf
3
  size 242266152
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:642f477bb24d61218babd0670664f3a4df918b5d8bb35c0f50583a34a92be0b7
3
  size 242266152
optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:29b44e545ad0fe7183464094b9b2dec3f04949f1245f59d9322650c7a102d70e
3
  size 484650042
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:639e62b4dffb7f663a3bddbc13c477870e8d84e0071e56ab04cc450206838a09
3
  size 484650042
rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:80bde0336a267c111569a8143afc5a48a7cefcfc2b02d9ae756ea1799ded6e26
3
  size 14244
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:324b380e4b844f229ef1eb78c684dbffa81653737123018b945caa09ff6d0595
3
  size 14244
trainer_state.json CHANGED
@@ -11,208 +11,208 @@
11
  {
12
  "epoch": 0.03,
13
  "learning_rate": 0.0002,
14
- "loss": 2.2668,
15
  "step": 2
16
  },
17
  {
18
  "epoch": 0.06,
19
  "learning_rate": 0.0002,
20
- "loss": 1.8551,
21
  "step": 4
22
  },
23
  {
24
  "epoch": 0.09,
25
  "learning_rate": 0.0002,
26
- "loss": 1.5604,
27
  "step": 6
28
  },
29
  {
30
  "epoch": 0.12,
31
  "learning_rate": 0.0002,
32
- "loss": 1.6692,
33
  "step": 8
34
  },
35
  {
36
  "epoch": 0.15,
37
  "learning_rate": 0.0002,
38
- "loss": 1.3129,
39
  "step": 10
40
  },
41
  {
42
  "epoch": 0.18,
43
  "learning_rate": 0.0002,
44
- "loss": 1.3419,
45
  "step": 12
46
  },
47
  {
48
  "epoch": 0.21,
49
  "learning_rate": 0.0002,
50
- "loss": 1.7095,
51
  "step": 14
52
  },
53
  {
54
  "epoch": 0.24,
55
  "learning_rate": 0.0002,
56
- "loss": 2.0765,
57
  "step": 16
58
  },
59
  {
60
  "epoch": 0.27,
61
  "learning_rate": 0.0002,
62
- "loss": 2.5753,
63
  "step": 18
64
  },
65
  {
66
  "epoch": 0.3,
67
  "learning_rate": 0.0002,
68
- "loss": 1.6241,
69
  "step": 20
70
  },
71
  {
72
  "epoch": 0.33,
73
  "learning_rate": 0.0002,
74
- "loss": 1.4522,
75
  "step": 22
76
  },
77
  {
78
  "epoch": 0.36,
79
  "learning_rate": 0.0002,
80
- "loss": 1.3241,
81
  "step": 24
82
  },
83
  {
84
  "epoch": 0.39,
85
  "learning_rate": 0.0002,
86
- "loss": 1.2951,
87
  "step": 26
88
  },
89
  {
90
  "epoch": 0.42,
91
  "learning_rate": 0.0002,
92
- "loss": 1.4782,
93
  "step": 28
94
  },
95
  {
96
  "epoch": 0.45,
97
  "learning_rate": 0.0002,
98
- "loss": 1.5635,
99
  "step": 30
100
  },
101
  {
102
  "epoch": 0.48,
103
  "learning_rate": 0.0002,
104
- "loss": 1.6126,
105
  "step": 32
106
  },
107
  {
108
  "epoch": 0.51,
109
  "learning_rate": 0.0002,
110
- "loss": 2.3792,
111
  "step": 34
112
  },
113
  {
114
  "epoch": 0.54,
115
  "learning_rate": 0.0002,
116
- "loss": 1.5842,
117
  "step": 36
118
  },
119
  {
120
  "epoch": 0.57,
121
  "learning_rate": 0.0002,
122
- "loss": 1.5121,
123
  "step": 38
124
  },
125
  {
126
  "epoch": 0.6,
127
  "learning_rate": 0.0002,
128
- "loss": 1.4825,
129
  "step": 40
130
  },
131
  {
132
  "epoch": 0.63,
133
  "learning_rate": 0.0002,
134
- "loss": 1.1322,
135
  "step": 42
136
  },
137
  {
138
  "epoch": 0.66,
139
  "learning_rate": 0.0002,
140
- "loss": 1.4946,
141
  "step": 44
142
  },
143
  {
144
  "epoch": 0.69,
145
  "learning_rate": 0.0002,
146
- "loss": 1.6078,
147
  "step": 46
148
  },
149
  {
150
  "epoch": 0.72,
151
  "learning_rate": 0.0002,
152
- "loss": 1.4013,
153
  "step": 48
154
  },
155
  {
156
  "epoch": 0.75,
157
  "learning_rate": 0.0002,
158
- "loss": 2.5368,
159
  "step": 50
160
  },
161
  {
162
  "epoch": 0.78,
163
  "learning_rate": 0.0002,
164
- "loss": 1.3368,
165
  "step": 52
166
  },
167
  {
168
  "epoch": 0.81,
169
  "learning_rate": 0.0002,
170
- "loss": 1.3519,
171
  "step": 54
172
  },
173
  {
174
  "epoch": 0.84,
175
  "learning_rate": 0.0002,
176
- "loss": 1.483,
177
  "step": 56
178
  },
179
  {
180
  "epoch": 0.86,
181
  "learning_rate": 0.0002,
182
- "loss": 1.1371,
183
  "step": 58
184
  },
185
  {
186
  "epoch": 0.89,
187
  "learning_rate": 0.0002,
188
- "loss": 1.2318,
189
  "step": 60
190
  },
191
  {
192
  "epoch": 0.92,
193
  "learning_rate": 0.0002,
194
- "loss": 1.408,
195
  "step": 62
196
  },
197
  {
198
  "epoch": 0.95,
199
  "learning_rate": 0.0002,
200
- "loss": 1.4301,
201
  "step": 64
202
  },
203
  {
204
  "epoch": 0.98,
205
  "learning_rate": 0.0002,
206
- "loss": 1.4105,
207
  "step": 66
208
  }
209
  ],
210
  "logging_steps": 2,
211
- "max_steps": 67,
212
  "num_input_tokens_seen": 0,
213
- "num_train_epochs": 1,
214
  "save_steps": 500,
215
- "total_flos": 4514565308473344.0,
216
  "train_batch_size": 1,
217
  "trial_name": null,
218
  "trial_params": null
 
11
  {
12
  "epoch": 0.03,
13
  "learning_rate": 0.0002,
14
+ "loss": 2.0495,
15
  "step": 2
16
  },
17
  {
18
  "epoch": 0.06,
19
  "learning_rate": 0.0002,
20
+ "loss": 1.9142,
21
  "step": 4
22
  },
23
  {
24
  "epoch": 0.09,
25
  "learning_rate": 0.0002,
26
+ "loss": 1.6721,
27
  "step": 6
28
  },
29
  {
30
  "epoch": 0.12,
31
  "learning_rate": 0.0002,
32
+ "loss": 1.7108,
33
  "step": 8
34
  },
35
  {
36
  "epoch": 0.15,
37
  "learning_rate": 0.0002,
38
+ "loss": 1.2174,
39
  "step": 10
40
  },
41
  {
42
  "epoch": 0.18,
43
  "learning_rate": 0.0002,
44
+ "loss": 1.5764,
45
  "step": 12
46
  },
47
  {
48
  "epoch": 0.21,
49
  "learning_rate": 0.0002,
50
+ "loss": 1.8746,
51
  "step": 14
52
  },
53
  {
54
  "epoch": 0.24,
55
  "learning_rate": 0.0002,
56
+ "loss": 2.0229,
57
  "step": 16
58
  },
59
  {
60
  "epoch": 0.27,
61
  "learning_rate": 0.0002,
62
+ "loss": 2.6714,
63
  "step": 18
64
  },
65
  {
66
  "epoch": 0.3,
67
  "learning_rate": 0.0002,
68
+ "loss": 1.5431,
69
  "step": 20
70
  },
71
  {
72
  "epoch": 0.33,
73
  "learning_rate": 0.0002,
74
+ "loss": 1.4803,
75
  "step": 22
76
  },
77
  {
78
  "epoch": 0.36,
79
  "learning_rate": 0.0002,
80
+ "loss": 1.399,
81
  "step": 24
82
  },
83
  {
84
  "epoch": 0.39,
85
  "learning_rate": 0.0002,
86
+ "loss": 1.3031,
87
  "step": 26
88
  },
89
  {
90
  "epoch": 0.42,
91
  "learning_rate": 0.0002,
92
+ "loss": 1.5004,
93
  "step": 28
94
  },
95
  {
96
  "epoch": 0.45,
97
  "learning_rate": 0.0002,
98
+ "loss": 1.5976,
99
  "step": 30
100
  },
101
  {
102
  "epoch": 0.48,
103
  "learning_rate": 0.0002,
104
+ "loss": 1.698,
105
  "step": 32
106
  },
107
  {
108
  "epoch": 0.51,
109
  "learning_rate": 0.0002,
110
+ "loss": 2.5133,
111
  "step": 34
112
  },
113
  {
114
  "epoch": 0.54,
115
  "learning_rate": 0.0002,
116
+ "loss": 1.6247,
117
  "step": 36
118
  },
119
  {
120
  "epoch": 0.57,
121
  "learning_rate": 0.0002,
122
+ "loss": 1.436,
123
  "step": 38
124
  },
125
  {
126
  "epoch": 0.6,
127
  "learning_rate": 0.0002,
128
+ "loss": 1.4314,
129
  "step": 40
130
  },
131
  {
132
  "epoch": 0.63,
133
  "learning_rate": 0.0002,
134
+ "loss": 1.1464,
135
  "step": 42
136
  },
137
  {
138
  "epoch": 0.66,
139
  "learning_rate": 0.0002,
140
+ "loss": 1.2779,
141
  "step": 44
142
  },
143
  {
144
  "epoch": 0.69,
145
  "learning_rate": 0.0002,
146
+ "loss": 1.4408,
147
  "step": 46
148
  },
149
  {
150
  "epoch": 0.72,
151
  "learning_rate": 0.0002,
152
+ "loss": 1.4426,
153
  "step": 48
154
  },
155
  {
156
  "epoch": 0.75,
157
  "learning_rate": 0.0002,
158
+ "loss": 2.4268,
159
  "step": 50
160
  },
161
  {
162
  "epoch": 0.78,
163
  "learning_rate": 0.0002,
164
+ "loss": 1.5227,
165
  "step": 52
166
  },
167
  {
168
  "epoch": 0.81,
169
  "learning_rate": 0.0002,
170
+ "loss": 1.4014,
171
  "step": 54
172
  },
173
  {
174
  "epoch": 0.84,
175
  "learning_rate": 0.0002,
176
+ "loss": 1.3023,
177
  "step": 56
178
  },
179
  {
180
  "epoch": 0.86,
181
  "learning_rate": 0.0002,
182
+ "loss": 1.2205,
183
  "step": 58
184
  },
185
  {
186
  "epoch": 0.89,
187
  "learning_rate": 0.0002,
188
+ "loss": 1.3143,
189
  "step": 60
190
  },
191
  {
192
  "epoch": 0.92,
193
  "learning_rate": 0.0002,
194
+ "loss": 1.491,
195
  "step": 62
196
  },
197
  {
198
  "epoch": 0.95,
199
  "learning_rate": 0.0002,
200
+ "loss": 1.4041,
201
  "step": 64
202
  },
203
  {
204
  "epoch": 0.98,
205
  "learning_rate": 0.0002,
206
+ "loss": 1.3281,
207
  "step": 66
208
  }
209
  ],
210
  "logging_steps": 2,
211
+ "max_steps": 201,
212
  "num_input_tokens_seen": 0,
213
+ "num_train_epochs": 3,
214
  "save_steps": 500,
215
+ "total_flos": 4514943194996736.0,
216
  "train_batch_size": 1,
217
  "trial_name": null,
218
  "trial_params": null
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:903a6aa184e2e7fcae2e29042c8eb8efa1074a06a9fde91beb5c74ea253ca05b
3
  size 4728
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:350aeb7e91825c3df5a43a0c3c9800fdd74e2dbfb83d316d704b621b3807540a
3
  size 4728