Model save
Browse files- README.md +4 -4
- all_results.json +4 -4
- model-00001-of-00002.safetensors +1 -1
- model-00002-of-00002.safetensors +1 -1
- train_results.json +4 -4
- trainer_state.json +76 -76
README.md
CHANGED
|
@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 20 |
|
| 21 |
This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the generator dataset.
|
| 22 |
It achieves the following results on the evaluation set:
|
| 23 |
-
- Loss:
|
| 24 |
|
| 25 |
## Model description
|
| 26 |
|
|
@@ -57,9 +57,9 @@ The following hyperparameters were used during training:
|
|
| 57 |
|
| 58 |
| Training Loss | Epoch | Step | Validation Loss |
|
| 59 |
|:-------------:|:------:|:----:|:---------------:|
|
| 60 |
-
| 1.
|
| 61 |
-
| 0.
|
| 62 |
-
| 0.
|
| 63 |
|
| 64 |
|
| 65 |
### Framework versions
|
|
|
|
| 20 |
|
| 21 |
This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the generator dataset.
|
| 22 |
It achieves the following results on the evaluation set:
|
| 23 |
+
- Loss: 1.0156
|
| 24 |
|
| 25 |
## Model description
|
| 26 |
|
|
|
|
| 57 |
|
| 58 |
| Training Loss | Epoch | Step | Validation Loss |
|
| 59 |
|:-------------:|:------:|:----:|:---------------:|
|
| 60 |
+
| 1.3675 | 0.9180 | 7 | 1.2845 |
|
| 61 |
+
| 0.9289 | 1.9672 | 15 | 1.0186 |
|
| 62 |
+
| 0.7336 | 2.7541 | 21 | 1.0156 |
|
| 63 |
|
| 64 |
|
| 65 |
### Framework versions
|
all_results.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 2.7540983606557377,
|
| 3 |
"total_flos": 3971544514560.0,
|
| 4 |
-
"train_loss":
|
| 5 |
-
"train_runtime":
|
| 6 |
"train_samples": 725,
|
| 7 |
-
"train_samples_per_second":
|
| 8 |
-
"train_steps_per_second":
|
| 9 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 2.7540983606557377,
|
| 3 |
"total_flos": 3971544514560.0,
|
| 4 |
+
"train_loss": 1.26855130422683,
|
| 5 |
+
"train_runtime": 385.6521,
|
| 6 |
"train_samples": 725,
|
| 7 |
+
"train_samples_per_second": 3.757,
|
| 8 |
+
"train_steps_per_second": 0.054
|
| 9 |
}
|
model-00001-of-00002.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4988025760
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7dcff2d834517f116d11bb21e10303ce38f4453fd72f581734f5f3d7aecb1336
|
| 3 |
size 4988025760
|
model-00002-of-00002.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 240691728
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:135f2ee801e93f5389fcc1f19c6c7bc6f1dcf4344f079ff6dc0e5b3a5ac3f5d7
|
| 3 |
size 240691728
|
train_results.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 2.7540983606557377,
|
| 3 |
"total_flos": 3971544514560.0,
|
| 4 |
-
"train_loss":
|
| 5 |
-
"train_runtime":
|
| 6 |
"train_samples": 725,
|
| 7 |
-
"train_samples_per_second":
|
| 8 |
-
"train_steps_per_second":
|
| 9 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 2.7540983606557377,
|
| 3 |
"total_flos": 3971544514560.0,
|
| 4 |
+
"train_loss": 1.26855130422683,
|
| 5 |
+
"train_runtime": 385.6521,
|
| 6 |
"train_samples": 725,
|
| 7 |
+
"train_samples_per_second": 3.757,
|
| 8 |
+
"train_steps_per_second": 0.054
|
| 9 |
}
|
trainer_state.json
CHANGED
|
@@ -10,183 +10,183 @@
|
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.13114754098360656,
|
| 13 |
-
"grad_norm": 38.
|
| 14 |
-
"learning_rate":
|
| 15 |
"loss": 2.4278,
|
| 16 |
"step": 1
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.26229508196721313,
|
| 20 |
-
"grad_norm": 39.
|
| 21 |
-
"learning_rate":
|
| 22 |
"loss": 2.4386,
|
| 23 |
"step": 2
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"epoch": 0.39344262295081966,
|
| 27 |
-
"grad_norm":
|
| 28 |
-
"learning_rate":
|
| 29 |
-
"loss": 1.
|
| 30 |
"step": 3
|
| 31 |
},
|
| 32 |
{
|
| 33 |
"epoch": 0.5245901639344263,
|
| 34 |
-
"grad_norm":
|
| 35 |
-
"learning_rate":
|
| 36 |
-
"loss":
|
| 37 |
"step": 4
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"epoch": 0.6557377049180327,
|
| 41 |
-
"grad_norm":
|
| 42 |
-
"learning_rate":
|
| 43 |
-
"loss": 1.
|
| 44 |
"step": 5
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 0.7868852459016393,
|
| 48 |
-
"grad_norm":
|
| 49 |
-
"learning_rate":
|
| 50 |
-
"loss": 1.
|
| 51 |
"step": 6
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 0.9180327868852459,
|
| 55 |
-
"grad_norm":
|
| 56 |
-
"learning_rate":
|
| 57 |
-
"loss": 1.
|
| 58 |
"step": 7
|
| 59 |
},
|
| 60 |
{
|
| 61 |
"epoch": 0.9180327868852459,
|
| 62 |
-
"eval_loss": 1.
|
| 63 |
-
"eval_runtime": 9.
|
| 64 |
-
"eval_samples_per_second": 20.
|
| 65 |
-
"eval_steps_per_second": 2.
|
| 66 |
"step": 7
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"epoch": 1.0491803278688525,
|
| 70 |
-
"grad_norm": 4.
|
| 71 |
-
"learning_rate":
|
| 72 |
-
"loss": 1.
|
| 73 |
"step": 8
|
| 74 |
},
|
| 75 |
{
|
| 76 |
"epoch": 1.180327868852459,
|
| 77 |
-
"grad_norm": 3.
|
| 78 |
-
"learning_rate":
|
| 79 |
-
"loss": 1.
|
| 80 |
"step": 9
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 1.3114754098360657,
|
| 84 |
-
"grad_norm": 2.
|
| 85 |
-
"learning_rate":
|
| 86 |
-
"loss": 1.
|
| 87 |
"step": 10
|
| 88 |
},
|
| 89 |
{
|
| 90 |
"epoch": 1.4426229508196722,
|
| 91 |
-
"grad_norm": 2.
|
| 92 |
-
"learning_rate":
|
| 93 |
-
"loss": 1.
|
| 94 |
"step": 11
|
| 95 |
},
|
| 96 |
{
|
| 97 |
"epoch": 1.5737704918032787,
|
| 98 |
-
"grad_norm": 2.
|
| 99 |
-
"learning_rate":
|
| 100 |
-
"loss": 1.
|
| 101 |
"step": 12
|
| 102 |
},
|
| 103 |
{
|
| 104 |
"epoch": 1.7049180327868854,
|
| 105 |
-
"grad_norm":
|
| 106 |
-
"learning_rate":
|
| 107 |
-
"loss": 0.
|
| 108 |
"step": 13
|
| 109 |
},
|
| 110 |
{
|
| 111 |
"epoch": 1.8360655737704918,
|
| 112 |
-
"grad_norm": 1.
|
| 113 |
-
"learning_rate":
|
| 114 |
-
"loss": 0.
|
| 115 |
"step": 14
|
| 116 |
},
|
| 117 |
{
|
| 118 |
"epoch": 1.9672131147540983,
|
| 119 |
-
"grad_norm": 1.
|
| 120 |
-
"learning_rate":
|
| 121 |
-
"loss": 0.
|
| 122 |
"step": 15
|
| 123 |
},
|
| 124 |
{
|
| 125 |
"epoch": 1.9672131147540983,
|
| 126 |
-
"eval_loss": 1.
|
| 127 |
-
"eval_runtime": 9.
|
| 128 |
-
"eval_samples_per_second": 21.
|
| 129 |
-
"eval_steps_per_second": 2.
|
| 130 |
"step": 15
|
| 131 |
},
|
| 132 |
{
|
| 133 |
"epoch": 2.098360655737705,
|
| 134 |
-
"grad_norm": 1.
|
| 135 |
-
"learning_rate":
|
| 136 |
-
"loss": 0.
|
| 137 |
"step": 16
|
| 138 |
},
|
| 139 |
{
|
| 140 |
"epoch": 2.2295081967213113,
|
| 141 |
-
"grad_norm": 1.
|
| 142 |
-
"learning_rate":
|
| 143 |
-
"loss": 0.
|
| 144 |
"step": 17
|
| 145 |
},
|
| 146 |
{
|
| 147 |
"epoch": 2.360655737704918,
|
| 148 |
-
"grad_norm": 1.
|
| 149 |
-
"learning_rate":
|
| 150 |
-
"loss": 0.
|
| 151 |
"step": 18
|
| 152 |
},
|
| 153 |
{
|
| 154 |
"epoch": 2.4918032786885247,
|
| 155 |
-
"grad_norm": 1.
|
| 156 |
-
"learning_rate":
|
| 157 |
-
"loss": 0.
|
| 158 |
"step": 19
|
| 159 |
},
|
| 160 |
{
|
| 161 |
"epoch": 2.6229508196721314,
|
| 162 |
-
"grad_norm": 1.
|
| 163 |
-
"learning_rate":
|
| 164 |
-
"loss": 0.
|
| 165 |
"step": 20
|
| 166 |
},
|
| 167 |
{
|
| 168 |
"epoch": 2.7540983606557377,
|
| 169 |
-
"grad_norm": 1.
|
| 170 |
"learning_rate": 0.0,
|
| 171 |
-
"loss": 0.
|
| 172 |
"step": 21
|
| 173 |
},
|
| 174 |
{
|
| 175 |
"epoch": 2.7540983606557377,
|
| 176 |
-
"eval_loss":
|
| 177 |
-
"eval_runtime": 8.
|
| 178 |
-
"eval_samples_per_second": 21.
|
| 179 |
-
"eval_steps_per_second": 2.
|
| 180 |
"step": 21
|
| 181 |
},
|
| 182 |
{
|
| 183 |
"epoch": 2.7540983606557377,
|
| 184 |
"step": 21,
|
| 185 |
"total_flos": 3971544514560.0,
|
| 186 |
-
"train_loss":
|
| 187 |
-
"train_runtime":
|
| 188 |
-
"train_samples_per_second":
|
| 189 |
-
"train_steps_per_second":
|
| 190 |
}
|
| 191 |
],
|
| 192 |
"logging_steps": 1,
|
|
|
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.13114754098360656,
|
| 13 |
+
"grad_norm": 38.48949567054442,
|
| 14 |
+
"learning_rate": 1.6666666666666667e-05,
|
| 15 |
"loss": 2.4278,
|
| 16 |
"step": 1
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.26229508196721313,
|
| 20 |
+
"grad_norm": 39.356777754899475,
|
| 21 |
+
"learning_rate": 3.3333333333333335e-05,
|
| 22 |
"loss": 2.4386,
|
| 23 |
"step": 2
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"epoch": 0.39344262295081966,
|
| 27 |
+
"grad_norm": 33.30743701183079,
|
| 28 |
+
"learning_rate": 5e-05,
|
| 29 |
+
"loss": 1.9706,
|
| 30 |
"step": 3
|
| 31 |
},
|
| 32 |
{
|
| 33 |
"epoch": 0.5245901639344263,
|
| 34 |
+
"grad_norm": 14.11009284862285,
|
| 35 |
+
"learning_rate": 4.962019382530521e-05,
|
| 36 |
+
"loss": 2.046,
|
| 37 |
"step": 4
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"epoch": 0.6557377049180327,
|
| 41 |
+
"grad_norm": 15.728498285095311,
|
| 42 |
+
"learning_rate": 4.849231551964771e-05,
|
| 43 |
+
"loss": 1.8774,
|
| 44 |
"step": 5
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 0.7868852459016393,
|
| 48 |
+
"grad_norm": 7.811945380246204,
|
| 49 |
+
"learning_rate": 4.665063509461097e-05,
|
| 50 |
+
"loss": 1.555,
|
| 51 |
"step": 6
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 0.9180327868852459,
|
| 55 |
+
"grad_norm": 4.212013153204252,
|
| 56 |
+
"learning_rate": 4.415111107797445e-05,
|
| 57 |
+
"loss": 1.3675,
|
| 58 |
"step": 7
|
| 59 |
},
|
| 60 |
{
|
| 61 |
"epoch": 0.9180327868852459,
|
| 62 |
+
"eval_loss": 1.2844842672348022,
|
| 63 |
+
"eval_runtime": 9.2887,
|
| 64 |
+
"eval_samples_per_second": 20.67,
|
| 65 |
+
"eval_steps_per_second": 2.584,
|
| 66 |
"step": 7
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"epoch": 1.0491803278688525,
|
| 70 |
+
"grad_norm": 4.5268328646450735,
|
| 71 |
+
"learning_rate": 4.1069690242163484e-05,
|
| 72 |
+
"loss": 1.2474,
|
| 73 |
"step": 8
|
| 74 |
},
|
| 75 |
{
|
| 76 |
"epoch": 1.180327868852459,
|
| 77 |
+
"grad_norm": 3.2715775686151596,
|
| 78 |
+
"learning_rate": 3.7500000000000003e-05,
|
| 79 |
+
"loss": 1.1467,
|
| 80 |
"step": 9
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 1.3114754098360657,
|
| 84 |
+
"grad_norm": 2.0643659092546915,
|
| 85 |
+
"learning_rate": 3.355050358314172e-05,
|
| 86 |
+
"loss": 1.0749,
|
| 87 |
"step": 10
|
| 88 |
},
|
| 89 |
{
|
| 90 |
"epoch": 1.4426229508196722,
|
| 91 |
+
"grad_norm": 2.304739353698177,
|
| 92 |
+
"learning_rate": 2.9341204441673266e-05,
|
| 93 |
+
"loss": 1.0221,
|
| 94 |
"step": 11
|
| 95 |
},
|
| 96 |
{
|
| 97 |
"epoch": 1.5737704918032787,
|
| 98 |
+
"grad_norm": 2.127617323697091,
|
| 99 |
+
"learning_rate": 2.5e-05,
|
| 100 |
+
"loss": 1.0107,
|
| 101 |
"step": 12
|
| 102 |
},
|
| 103 |
{
|
| 104 |
"epoch": 1.7049180327868854,
|
| 105 |
+
"grad_norm": 2.0707864059238807,
|
| 106 |
+
"learning_rate": 2.0658795558326743e-05,
|
| 107 |
+
"loss": 0.9786,
|
| 108 |
"step": 13
|
| 109 |
},
|
| 110 |
{
|
| 111 |
"epoch": 1.8360655737704918,
|
| 112 |
+
"grad_norm": 1.3495555593879531,
|
| 113 |
+
"learning_rate": 1.6449496416858284e-05,
|
| 114 |
+
"loss": 0.956,
|
| 115 |
"step": 14
|
| 116 |
},
|
| 117 |
{
|
| 118 |
"epoch": 1.9672131147540983,
|
| 119 |
+
"grad_norm": 1.420785537317645,
|
| 120 |
+
"learning_rate": 1.2500000000000006e-05,
|
| 121 |
+
"loss": 0.9289,
|
| 122 |
"step": 15
|
| 123 |
},
|
| 124 |
{
|
| 125 |
"epoch": 1.9672131147540983,
|
| 126 |
+
"eval_loss": 1.018620491027832,
|
| 127 |
+
"eval_runtime": 9.0608,
|
| 128 |
+
"eval_samples_per_second": 21.19,
|
| 129 |
+
"eval_steps_per_second": 2.649,
|
| 130 |
"step": 15
|
| 131 |
},
|
| 132 |
{
|
| 133 |
"epoch": 2.098360655737705,
|
| 134 |
+
"grad_norm": 1.2601137070878647,
|
| 135 |
+
"learning_rate": 8.930309757836517e-06,
|
| 136 |
+
"loss": 0.8122,
|
| 137 |
"step": 16
|
| 138 |
},
|
| 139 |
{
|
| 140 |
"epoch": 2.2295081967213113,
|
| 141 |
+
"grad_norm": 1.3786806913074527,
|
| 142 |
+
"learning_rate": 5.848888922025553e-06,
|
| 143 |
+
"loss": 0.7862,
|
| 144 |
"step": 17
|
| 145 |
},
|
| 146 |
{
|
| 147 |
"epoch": 2.360655737704918,
|
| 148 |
+
"grad_norm": 1.1372265617537292,
|
| 149 |
+
"learning_rate": 3.3493649053890326e-06,
|
| 150 |
+
"loss": 0.7698,
|
| 151 |
"step": 18
|
| 152 |
},
|
| 153 |
{
|
| 154 |
"epoch": 2.4918032786885247,
|
| 155 |
+
"grad_norm": 1.085080138353371,
|
| 156 |
+
"learning_rate": 1.5076844803522922e-06,
|
| 157 |
+
"loss": 0.7537,
|
| 158 |
"step": 19
|
| 159 |
},
|
| 160 |
{
|
| 161 |
"epoch": 2.6229508196721314,
|
| 162 |
+
"grad_norm": 1.067963510724275,
|
| 163 |
+
"learning_rate": 3.7980617469479953e-07,
|
| 164 |
+
"loss": 0.7358,
|
| 165 |
"step": 20
|
| 166 |
},
|
| 167 |
{
|
| 168 |
"epoch": 2.7540983606557377,
|
| 169 |
+
"grad_norm": 1.0345534581342344,
|
| 170 |
"learning_rate": 0.0,
|
| 171 |
+
"loss": 0.7336,
|
| 172 |
"step": 21
|
| 173 |
},
|
| 174 |
{
|
| 175 |
"epoch": 2.7540983606557377,
|
| 176 |
+
"eval_loss": 1.0155988931655884,
|
| 177 |
+
"eval_runtime": 8.9999,
|
| 178 |
+
"eval_samples_per_second": 21.334,
|
| 179 |
+
"eval_steps_per_second": 2.667,
|
| 180 |
"step": 21
|
| 181 |
},
|
| 182 |
{
|
| 183 |
"epoch": 2.7540983606557377,
|
| 184 |
"step": 21,
|
| 185 |
"total_flos": 3971544514560.0,
|
| 186 |
+
"train_loss": 1.26855130422683,
|
| 187 |
+
"train_runtime": 385.6521,
|
| 188 |
+
"train_samples_per_second": 3.757,
|
| 189 |
+
"train_steps_per_second": 0.054
|
| 190 |
}
|
| 191 |
],
|
| 192 |
"logging_steps": 1,
|