Upload folder using huggingface_hub
Browse files- checkpoint-250/model.safetensors +1 -1
- checkpoint-250/optimizer.pt +1 -1
- checkpoint-250/trainer_state.json +49 -49
- checkpoint-250/training_args.bin +1 -1
- model.safetensors +1 -1
- training_args.bin +1 -1
checkpoint-250/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1999811208
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:63ac4aebc832cb012bd9cf7a6e3fc3cb86bb6c824bdd288ed880acd47fcf0cd4
|
| 3 |
size 1999811208
|
checkpoint-250/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3999834207
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:42b64143fe587a166cb1750893a36f383bfac9fe655a3b8898ad096d706ef862
|
| 3 |
size 3999834207
|
checkpoint-250/trainer_state.json
CHANGED
|
@@ -11,177 +11,177 @@
|
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"epoch": 0.4,
|
| 14 |
-
"grad_norm": 11.
|
| 15 |
"learning_rate": 4.82e-05,
|
| 16 |
-
"loss": 2.
|
| 17 |
"step": 10
|
| 18 |
},
|
| 19 |
{
|
| 20 |
"epoch": 0.8,
|
| 21 |
-
"grad_norm": 5.
|
| 22 |
"learning_rate": 4.6200000000000005e-05,
|
| 23 |
-
"loss": 1.
|
| 24 |
"step": 20
|
| 25 |
},
|
| 26 |
{
|
| 27 |
"epoch": 1.2,
|
| 28 |
-
"grad_norm":
|
| 29 |
"learning_rate": 4.4200000000000004e-05,
|
| 30 |
-
"loss": 1.
|
| 31 |
"step": 30
|
| 32 |
},
|
| 33 |
{
|
| 34 |
"epoch": 1.6,
|
| 35 |
-
"grad_norm":
|
| 36 |
"learning_rate": 4.22e-05,
|
| 37 |
-
"loss": 1.
|
| 38 |
"step": 40
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 2.0,
|
| 42 |
"grad_norm": 4.125,
|
| 43 |
"learning_rate": 4.02e-05,
|
| 44 |
-
"loss": 1.
|
| 45 |
"step": 50
|
| 46 |
},
|
| 47 |
{
|
| 48 |
"epoch": 2.4,
|
| 49 |
-
"grad_norm": 4.
|
| 50 |
"learning_rate": 3.82e-05,
|
| 51 |
-
"loss": 1.
|
| 52 |
"step": 60
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"epoch": 2.8,
|
| 56 |
-
"grad_norm":
|
| 57 |
"learning_rate": 3.62e-05,
|
| 58 |
-
"loss": 1.
|
| 59 |
"step": 70
|
| 60 |
},
|
| 61 |
{
|
| 62 |
"epoch": 3.2,
|
| 63 |
-
"grad_norm": 6.
|
| 64 |
"learning_rate": 3.4200000000000005e-05,
|
| 65 |
-
"loss": 1.
|
| 66 |
"step": 80
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"epoch": 3.6,
|
| 70 |
-
"grad_norm":
|
| 71 |
"learning_rate": 3.2200000000000003e-05,
|
| 72 |
-
"loss": 1.
|
| 73 |
"step": 90
|
| 74 |
},
|
| 75 |
{
|
| 76 |
"epoch": 4.0,
|
| 77 |
-
"grad_norm": 8.
|
| 78 |
"learning_rate": 3.02e-05,
|
| 79 |
-
"loss": 1.
|
| 80 |
"step": 100
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 4.4,
|
| 84 |
-
"grad_norm":
|
| 85 |
"learning_rate": 2.8199999999999998e-05,
|
| 86 |
-
"loss": 0.
|
| 87 |
"step": 110
|
| 88 |
},
|
| 89 |
{
|
| 90 |
"epoch": 4.8,
|
| 91 |
-
"grad_norm":
|
| 92 |
"learning_rate": 2.6200000000000003e-05,
|
| 93 |
-
"loss": 0.
|
| 94 |
"step": 120
|
| 95 |
},
|
| 96 |
{
|
| 97 |
"epoch": 5.2,
|
| 98 |
-
"grad_norm":
|
| 99 |
"learning_rate": 2.4200000000000002e-05,
|
| 100 |
-
"loss": 0.
|
| 101 |
"step": 130
|
| 102 |
},
|
| 103 |
{
|
| 104 |
"epoch": 5.6,
|
| 105 |
-
"grad_norm":
|
| 106 |
"learning_rate": 2.22e-05,
|
| 107 |
-
"loss": 0.
|
| 108 |
"step": 140
|
| 109 |
},
|
| 110 |
{
|
| 111 |
"epoch": 6.0,
|
| 112 |
-
"grad_norm":
|
| 113 |
"learning_rate": 2.0200000000000003e-05,
|
| 114 |
-
"loss": 0.
|
| 115 |
"step": 150
|
| 116 |
},
|
| 117 |
{
|
| 118 |
"epoch": 6.4,
|
| 119 |
-
"grad_norm":
|
| 120 |
"learning_rate": 1.8200000000000002e-05,
|
| 121 |
-
"loss": 0.
|
| 122 |
"step": 160
|
| 123 |
},
|
| 124 |
{
|
| 125 |
"epoch": 6.8,
|
| 126 |
-
"grad_norm":
|
| 127 |
"learning_rate": 1.62e-05,
|
| 128 |
-
"loss": 0.
|
| 129 |
"step": 170
|
| 130 |
},
|
| 131 |
{
|
| 132 |
"epoch": 7.2,
|
| 133 |
-
"grad_norm":
|
| 134 |
"learning_rate": 1.42e-05,
|
| 135 |
-
"loss": 0.
|
| 136 |
"step": 180
|
| 137 |
},
|
| 138 |
{
|
| 139 |
"epoch": 7.6,
|
| 140 |
-
"grad_norm":
|
| 141 |
"learning_rate": 1.22e-05,
|
| 142 |
-
"loss": 0.
|
| 143 |
"step": 190
|
| 144 |
},
|
| 145 |
{
|
| 146 |
"epoch": 8.0,
|
| 147 |
-
"grad_norm":
|
| 148 |
"learning_rate": 1.02e-05,
|
| 149 |
-
"loss": 0.
|
| 150 |
"step": 200
|
| 151 |
},
|
| 152 |
{
|
| 153 |
"epoch": 8.4,
|
| 154 |
-
"grad_norm":
|
| 155 |
"learning_rate": 8.200000000000001e-06,
|
| 156 |
-
"loss": 0.
|
| 157 |
"step": 210
|
| 158 |
},
|
| 159 |
{
|
| 160 |
"epoch": 8.8,
|
| 161 |
-
"grad_norm":
|
| 162 |
"learning_rate": 6.2e-06,
|
| 163 |
-
"loss": 0.
|
| 164 |
"step": 220
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"epoch": 9.2,
|
| 168 |
-
"grad_norm":
|
| 169 |
"learning_rate": 4.2000000000000004e-06,
|
| 170 |
-
"loss": 0.
|
| 171 |
"step": 230
|
| 172 |
},
|
| 173 |
{
|
| 174 |
"epoch": 9.6,
|
| 175 |
-
"grad_norm": 4.
|
| 176 |
"learning_rate": 2.2e-06,
|
| 177 |
-
"loss": 0.
|
| 178 |
"step": 240
|
| 179 |
},
|
| 180 |
{
|
| 181 |
"epoch": 10.0,
|
| 182 |
-
"grad_norm": 4.
|
| 183 |
"learning_rate": 2.0000000000000002e-07,
|
| 184 |
-
"loss": 0.
|
| 185 |
"step": 250
|
| 186 |
}
|
| 187 |
],
|
|
|
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"epoch": 0.4,
|
| 14 |
+
"grad_norm": 11.5,
|
| 15 |
"learning_rate": 4.82e-05,
|
| 16 |
+
"loss": 2.3626,
|
| 17 |
"step": 10
|
| 18 |
},
|
| 19 |
{
|
| 20 |
"epoch": 0.8,
|
| 21 |
+
"grad_norm": 5.3125,
|
| 22 |
"learning_rate": 4.6200000000000005e-05,
|
| 23 |
+
"loss": 1.6737,
|
| 24 |
"step": 20
|
| 25 |
},
|
| 26 |
{
|
| 27 |
"epoch": 1.2,
|
| 28 |
+
"grad_norm": 9.4375,
|
| 29 |
"learning_rate": 4.4200000000000004e-05,
|
| 30 |
+
"loss": 1.6044,
|
| 31 |
"step": 30
|
| 32 |
},
|
| 33 |
{
|
| 34 |
"epoch": 1.6,
|
| 35 |
+
"grad_norm": 5.46875,
|
| 36 |
"learning_rate": 4.22e-05,
|
| 37 |
+
"loss": 1.5568,
|
| 38 |
"step": 40
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 2.0,
|
| 42 |
"grad_norm": 4.125,
|
| 43 |
"learning_rate": 4.02e-05,
|
| 44 |
+
"loss": 1.5285,
|
| 45 |
"step": 50
|
| 46 |
},
|
| 47 |
{
|
| 48 |
"epoch": 2.4,
|
| 49 |
+
"grad_norm": 4.84375,
|
| 50 |
"learning_rate": 3.82e-05,
|
| 51 |
+
"loss": 1.307,
|
| 52 |
"step": 60
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"epoch": 2.8,
|
| 56 |
+
"grad_norm": 8.875,
|
| 57 |
"learning_rate": 3.62e-05,
|
| 58 |
+
"loss": 1.299,
|
| 59 |
"step": 70
|
| 60 |
},
|
| 61 |
{
|
| 62 |
"epoch": 3.2,
|
| 63 |
+
"grad_norm": 6.5,
|
| 64 |
"learning_rate": 3.4200000000000005e-05,
|
| 65 |
+
"loss": 1.2856,
|
| 66 |
"step": 80
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"epoch": 3.6,
|
| 70 |
+
"grad_norm": 5.875,
|
| 71 |
"learning_rate": 3.2200000000000003e-05,
|
| 72 |
+
"loss": 1.1082,
|
| 73 |
"step": 90
|
| 74 |
},
|
| 75 |
{
|
| 76 |
"epoch": 4.0,
|
| 77 |
+
"grad_norm": 8.1875,
|
| 78 |
"learning_rate": 3.02e-05,
|
| 79 |
+
"loss": 1.1532,
|
| 80 |
"step": 100
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 4.4,
|
| 84 |
+
"grad_norm": 13.3125,
|
| 85 |
"learning_rate": 2.8199999999999998e-05,
|
| 86 |
+
"loss": 0.9778,
|
| 87 |
"step": 110
|
| 88 |
},
|
| 89 |
{
|
| 90 |
"epoch": 4.8,
|
| 91 |
+
"grad_norm": 8.3125,
|
| 92 |
"learning_rate": 2.6200000000000003e-05,
|
| 93 |
+
"loss": 0.8454,
|
| 94 |
"step": 120
|
| 95 |
},
|
| 96 |
{
|
| 97 |
"epoch": 5.2,
|
| 98 |
+
"grad_norm": 8.0,
|
| 99 |
"learning_rate": 2.4200000000000002e-05,
|
| 100 |
+
"loss": 0.8049,
|
| 101 |
"step": 130
|
| 102 |
},
|
| 103 |
{
|
| 104 |
"epoch": 5.6,
|
| 105 |
+
"grad_norm": 22.625,
|
| 106 |
"learning_rate": 2.22e-05,
|
| 107 |
+
"loss": 0.6104,
|
| 108 |
"step": 140
|
| 109 |
},
|
| 110 |
{
|
| 111 |
"epoch": 6.0,
|
| 112 |
+
"grad_norm": 6.875,
|
| 113 |
"learning_rate": 2.0200000000000003e-05,
|
| 114 |
+
"loss": 0.6305,
|
| 115 |
"step": 150
|
| 116 |
},
|
| 117 |
{
|
| 118 |
"epoch": 6.4,
|
| 119 |
+
"grad_norm": 21.25,
|
| 120 |
"learning_rate": 1.8200000000000002e-05,
|
| 121 |
+
"loss": 0.4074,
|
| 122 |
"step": 160
|
| 123 |
},
|
| 124 |
{
|
| 125 |
"epoch": 6.8,
|
| 126 |
+
"grad_norm": 15.9375,
|
| 127 |
"learning_rate": 1.62e-05,
|
| 128 |
+
"loss": 0.432,
|
| 129 |
"step": 170
|
| 130 |
},
|
| 131 |
{
|
| 132 |
"epoch": 7.2,
|
| 133 |
+
"grad_norm": 4.65625,
|
| 134 |
"learning_rate": 1.42e-05,
|
| 135 |
+
"loss": 0.3196,
|
| 136 |
"step": 180
|
| 137 |
},
|
| 138 |
{
|
| 139 |
"epoch": 7.6,
|
| 140 |
+
"grad_norm": 11.25,
|
| 141 |
"learning_rate": 1.22e-05,
|
| 142 |
+
"loss": 0.2633,
|
| 143 |
"step": 190
|
| 144 |
},
|
| 145 |
{
|
| 146 |
"epoch": 8.0,
|
| 147 |
+
"grad_norm": 7.75,
|
| 148 |
"learning_rate": 1.02e-05,
|
| 149 |
+
"loss": 0.2649,
|
| 150 |
"step": 200
|
| 151 |
},
|
| 152 |
{
|
| 153 |
"epoch": 8.4,
|
| 154 |
+
"grad_norm": 4.9375,
|
| 155 |
"learning_rate": 8.200000000000001e-06,
|
| 156 |
+
"loss": 0.194,
|
| 157 |
"step": 210
|
| 158 |
},
|
| 159 |
{
|
| 160 |
"epoch": 8.8,
|
| 161 |
+
"grad_norm": 5.21875,
|
| 162 |
"learning_rate": 6.2e-06,
|
| 163 |
+
"loss": 0.1988,
|
| 164 |
"step": 220
|
| 165 |
},
|
| 166 |
{
|
| 167 |
"epoch": 9.2,
|
| 168 |
+
"grad_norm": 6.09375,
|
| 169 |
"learning_rate": 4.2000000000000004e-06,
|
| 170 |
+
"loss": 0.1789,
|
| 171 |
"step": 230
|
| 172 |
},
|
| 173 |
{
|
| 174 |
"epoch": 9.6,
|
| 175 |
+
"grad_norm": 4.25,
|
| 176 |
"learning_rate": 2.2e-06,
|
| 177 |
+
"loss": 0.155,
|
| 178 |
"step": 240
|
| 179 |
},
|
| 180 |
{
|
| 181 |
"epoch": 10.0,
|
| 182 |
+
"grad_norm": 4.53125,
|
| 183 |
"learning_rate": 2.0000000000000002e-07,
|
| 184 |
+
"loss": 0.1627,
|
| 185 |
"step": 250
|
| 186 |
}
|
| 187 |
],
|
checkpoint-250/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5777
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:41cd435e6a35d113b56cff4f1fba4298f479e76225a8f4bec93f7671750731f9
|
| 3 |
size 5777
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1999811208
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:63ac4aebc832cb012bd9cf7a6e3fc3cb86bb6c824bdd288ed880acd47fcf0cd4
|
| 3 |
size 1999811208
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5777
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:41cd435e6a35d113b56cff4f1fba4298f479e76225a8f4bec93f7671750731f9
|
| 3 |
size 5777
|