End of training
Browse files- README.md +2 -1
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +693 -0
- training_loss.png +0 -0
README.md
CHANGED
|
@@ -4,6 +4,7 @@ license: apache-2.0
|
|
| 4 |
base_model: Qwen/Qwen2.5-7B-Instruct
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
|
|
|
| 7 |
- generated_from_trainer
|
| 8 |
model-index:
|
| 9 |
- name: 3k_globalbatchsize96_lr2e5_epochs3
|
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# 3k_globalbatchsize96_lr2e5_epochs3
|
| 17 |
|
| 18 |
-
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on
|
| 19 |
|
| 20 |
## Model description
|
| 21 |
|
|
|
|
| 4 |
base_model: Qwen/Qwen2.5-7B-Instruct
|
| 5 |
tags:
|
| 6 |
- llama-factory
|
| 7 |
+
- full
|
| 8 |
- generated_from_trainer
|
| 9 |
model-index:
|
| 10 |
- name: 3k_globalbatchsize96_lr2e5_epochs3
|
|
|
|
| 16 |
|
| 17 |
# 3k_globalbatchsize96_lr2e5_epochs3
|
| 18 |
|
| 19 |
+
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the mlfoundations-dev/openthoughts_3000 dataset.
|
| 20 |
|
| 21 |
## Model description
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.976,
|
| 3 |
+
"total_flos": 1.818538711009198e+17,
|
| 4 |
+
"train_loss": 0.53916282679445,
|
| 5 |
+
"train_runtime": 9093.0931,
|
| 6 |
+
"train_samples_per_second": 0.989,
|
| 7 |
+
"train_steps_per_second": 0.01
|
| 8 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.976,
|
| 3 |
+
"total_flos": 1.818538711009198e+17,
|
| 4 |
+
"train_loss": 0.53916282679445,
|
| 5 |
+
"train_runtime": 9093.0931,
|
| 6 |
+
"train_samples_per_second": 0.989,
|
| 7 |
+
"train_steps_per_second": 0.01
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,693 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.976,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 93,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.032,
|
| 13 |
+
"grad_norm": 6.086521555575525,
|
| 14 |
+
"learning_rate": 2.0000000000000003e-06,
|
| 15 |
+
"loss": 0.8709,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.064,
|
| 20 |
+
"grad_norm": 5.862669428136825,
|
| 21 |
+
"learning_rate": 4.000000000000001e-06,
|
| 22 |
+
"loss": 0.8625,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.096,
|
| 27 |
+
"grad_norm": 5.665430905084772,
|
| 28 |
+
"learning_rate": 6e-06,
|
| 29 |
+
"loss": 0.8709,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.128,
|
| 34 |
+
"grad_norm": 3.9717562012437484,
|
| 35 |
+
"learning_rate": 8.000000000000001e-06,
|
| 36 |
+
"loss": 0.7764,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.16,
|
| 41 |
+
"grad_norm": 2.2462420454815217,
|
| 42 |
+
"learning_rate": 1e-05,
|
| 43 |
+
"loss": 0.7977,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.192,
|
| 48 |
+
"grad_norm": 4.275087411533909,
|
| 49 |
+
"learning_rate": 1.2e-05,
|
| 50 |
+
"loss": 0.8235,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.224,
|
| 55 |
+
"grad_norm": 4.540127453722676,
|
| 56 |
+
"learning_rate": 1.4e-05,
|
| 57 |
+
"loss": 0.7536,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.256,
|
| 62 |
+
"grad_norm": 5.958818552449376,
|
| 63 |
+
"learning_rate": 1.6000000000000003e-05,
|
| 64 |
+
"loss": 0.7817,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.288,
|
| 69 |
+
"grad_norm": 4.615179916049989,
|
| 70 |
+
"learning_rate": 1.8e-05,
|
| 71 |
+
"loss": 0.7716,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.32,
|
| 76 |
+
"grad_norm": 2.3655854780686663,
|
| 77 |
+
"learning_rate": 2e-05,
|
| 78 |
+
"loss": 0.6932,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.352,
|
| 83 |
+
"grad_norm": 2.478544642789441,
|
| 84 |
+
"learning_rate": 1.9992837548163315e-05,
|
| 85 |
+
"loss": 0.7029,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.384,
|
| 90 |
+
"grad_norm": 1.9787874769183103,
|
| 91 |
+
"learning_rate": 1.9971360452796523e-05,
|
| 92 |
+
"loss": 0.7003,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.416,
|
| 97 |
+
"grad_norm": 1.3386567233728712,
|
| 98 |
+
"learning_rate": 1.993559947963185e-05,
|
| 99 |
+
"loss": 0.6677,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.448,
|
| 104 |
+
"grad_norm": 1.177972539602327,
|
| 105 |
+
"learning_rate": 1.9885605855918887e-05,
|
| 106 |
+
"loss": 0.6495,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.48,
|
| 111 |
+
"grad_norm": 1.1019717904815112,
|
| 112 |
+
"learning_rate": 1.9821451197042028e-05,
|
| 113 |
+
"loss": 0.5967,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.512,
|
| 118 |
+
"grad_norm": 0.972479825971204,
|
| 119 |
+
"learning_rate": 1.9743227403932135e-05,
|
| 120 |
+
"loss": 0.6233,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.544,
|
| 125 |
+
"grad_norm": 0.9169380714246801,
|
| 126 |
+
"learning_rate": 1.9651046531419335e-05,
|
| 127 |
+
"loss": 0.5939,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.576,
|
| 132 |
+
"grad_norm": 0.7484870741589357,
|
| 133 |
+
"learning_rate": 1.9545040627715554e-05,
|
| 134 |
+
"loss": 0.5913,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.608,
|
| 139 |
+
"grad_norm": 0.8433187788934118,
|
| 140 |
+
"learning_rate": 1.942536154525673e-05,
|
| 141 |
+
"loss": 0.5926,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.64,
|
| 146 |
+
"grad_norm": 0.7004246074241133,
|
| 147 |
+
"learning_rate": 1.9292180723175656e-05,
|
| 148 |
+
"loss": 0.5679,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.672,
|
| 153 |
+
"grad_norm": 0.9310125911747377,
|
| 154 |
+
"learning_rate": 1.9145688941717074e-05,
|
| 155 |
+
"loss": 0.5644,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.704,
|
| 160 |
+
"grad_norm": 0.7970495324653322,
|
| 161 |
+
"learning_rate": 1.8986096048946826e-05,
|
| 162 |
+
"loss": 0.608,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.736,
|
| 167 |
+
"grad_norm": 0.8089072723260873,
|
| 168 |
+
"learning_rate": 1.881363066014649e-05,
|
| 169 |
+
"loss": 0.5677,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.768,
|
| 174 |
+
"grad_norm": 1.0367436501959517,
|
| 175 |
+
"learning_rate": 1.862853983032423e-05,
|
| 176 |
+
"loss": 0.6124,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.8,
|
| 181 |
+
"grad_norm": 0.6549565017520195,
|
| 182 |
+
"learning_rate": 1.8431088700310846e-05,
|
| 183 |
+
"loss": 0.565,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.832,
|
| 188 |
+
"grad_norm": 0.8100479455474157,
|
| 189 |
+
"learning_rate": 1.8221560116948103e-05,
|
| 190 |
+
"loss": 0.5536,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.864,
|
| 195 |
+
"grad_norm": 0.6655173946648272,
|
| 196 |
+
"learning_rate": 1.8000254227913346e-05,
|
| 197 |
+
"loss": 0.5927,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.896,
|
| 202 |
+
"grad_norm": 0.6489458832967611,
|
| 203 |
+
"learning_rate": 1.7767488051760858e-05,
|
| 204 |
+
"loss": 0.5996,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.928,
|
| 209 |
+
"grad_norm": 0.6556791371183601,
|
| 210 |
+
"learning_rate": 1.7523595023795814e-05,
|
| 211 |
+
"loss": 0.5565,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.96,
|
| 216 |
+
"grad_norm": 0.6656680446819412,
|
| 217 |
+
"learning_rate": 1.7268924518431437e-05,
|
| 218 |
+
"loss": 0.5691,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.992,
|
| 223 |
+
"grad_norm": 0.6975728008241743,
|
| 224 |
+
"learning_rate": 1.700384134871351e-05,
|
| 225 |
+
"loss": 0.5634,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 1.024,
|
| 230 |
+
"grad_norm": 1.0956954168489788,
|
| 231 |
+
"learning_rate": 1.672872524372919e-05,
|
| 232 |
+
"loss": 0.9416,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 1.056,
|
| 237 |
+
"grad_norm": 0.48720084397077673,
|
| 238 |
+
"learning_rate": 1.644397030464877e-05,
|
| 239 |
+
"loss": 0.4704,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 1.088,
|
| 244 |
+
"grad_norm": 0.7718389138248645,
|
| 245 |
+
"learning_rate": 1.614998444017954e-05,
|
| 246 |
+
"loss": 0.5326,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 1.12,
|
| 251 |
+
"grad_norm": 0.6152935642153501,
|
| 252 |
+
"learning_rate": 1.5847188782240473e-05,
|
| 253 |
+
"loss": 0.5174,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 1.152,
|
| 258 |
+
"grad_norm": 0.5860900719025863,
|
| 259 |
+
"learning_rate": 1.5536017082694846e-05,
|
| 260 |
+
"loss": 0.5031,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 1.184,
|
| 265 |
+
"grad_norm": 0.9098930960008285,
|
| 266 |
+
"learning_rate": 1.5216915092004847e-05,
|
| 267 |
+
"loss": 0.4993,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 1.216,
|
| 272 |
+
"grad_norm": 0.6433773311840126,
|
| 273 |
+
"learning_rate": 1.4890339920698334e-05,
|
| 274 |
+
"loss": 0.4832,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 1.248,
|
| 279 |
+
"grad_norm": 0.574508872316764,
|
| 280 |
+
"learning_rate": 1.4556759384562418e-05,
|
| 281 |
+
"loss": 0.5301,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 1.28,
|
| 286 |
+
"grad_norm": 0.6177654141668454,
|
| 287 |
+
"learning_rate": 1.421665133450184e-05,
|
| 288 |
+
"loss": 0.4809,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 1.312,
|
| 293 |
+
"grad_norm": 0.5915067861936215,
|
| 294 |
+
"learning_rate": 1.3870502972022175e-05,
|
| 295 |
+
"loss": 0.4947,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 1.3439999999999999,
|
| 300 |
+
"grad_norm": 0.6003229031077386,
|
| 301 |
+
"learning_rate": 1.351881015131833e-05,
|
| 302 |
+
"loss": 0.5285,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 1.376,
|
| 307 |
+
"grad_norm": 0.5286636651815204,
|
| 308 |
+
"learning_rate": 1.316207666896824e-05,
|
| 309 |
+
"loss": 0.5134,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 1.408,
|
| 314 |
+
"grad_norm": 0.5729916541561343,
|
| 315 |
+
"learning_rate": 1.2800813542249073e-05,
|
| 316 |
+
"loss": 0.4392,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 1.44,
|
| 321 |
+
"grad_norm": 0.5389286220120857,
|
| 322 |
+
"learning_rate": 1.2435538277109919e-05,
|
| 323 |
+
"loss": 0.4811,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 1.472,
|
| 328 |
+
"grad_norm": 0.5162482888115615,
|
| 329 |
+
"learning_rate": 1.206677412684953e-05,
|
| 330 |
+
"loss": 0.5603,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 1.504,
|
| 335 |
+
"grad_norm": 0.5836229105696747,
|
| 336 |
+
"learning_rate": 1.1695049342560969e-05,
|
| 337 |
+
"loss": 0.452,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 1.536,
|
| 342 |
+
"grad_norm": 0.5251402934459473,
|
| 343 |
+
"learning_rate": 1.1320896416417026e-05,
|
| 344 |
+
"loss": 0.5007,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 1.568,
|
| 349 |
+
"grad_norm": 0.49581981068641073,
|
| 350 |
+
"learning_rate": 1.0944851318880314e-05,
|
| 351 |
+
"loss": 0.4815,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 1.6,
|
| 356 |
+
"grad_norm": 0.6328540516916794,
|
| 357 |
+
"learning_rate": 1.0567452730930743e-05,
|
| 358 |
+
"loss": 0.559,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 1.6320000000000001,
|
| 363 |
+
"grad_norm": 0.48288716820093464,
|
| 364 |
+
"learning_rate": 1.0189241272410191e-05,
|
| 365 |
+
"loss": 0.4568,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 1.6640000000000001,
|
| 370 |
+
"grad_norm": 0.43453357593747727,
|
| 371 |
+
"learning_rate": 9.810758727589814e-06,
|
| 372 |
+
"loss": 0.5136,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 1.696,
|
| 377 |
+
"grad_norm": 0.43509974292321796,
|
| 378 |
+
"learning_rate": 9.43254726906926e-06,
|
| 379 |
+
"loss": 0.4613,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 1.728,
|
| 384 |
+
"grad_norm": 0.5105120033270906,
|
| 385 |
+
"learning_rate": 9.055148681119688e-06,
|
| 386 |
+
"loss": 0.5104,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 1.76,
|
| 391 |
+
"grad_norm": 0.4655178250091279,
|
| 392 |
+
"learning_rate": 8.67910358358298e-06,
|
| 393 |
+
"loss": 0.515,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 1.792,
|
| 398 |
+
"grad_norm": 0.4271675109217912,
|
| 399 |
+
"learning_rate": 8.304950657439034e-06,
|
| 400 |
+
"loss": 0.4594,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 1.8239999999999998,
|
| 405 |
+
"grad_norm": 0.49279836130724164,
|
| 406 |
+
"learning_rate": 7.93322587315047e-06,
|
| 407 |
+
"loss": 0.5102,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 1.8559999999999999,
|
| 412 |
+
"grad_norm": 0.4312602763649386,
|
| 413 |
+
"learning_rate": 7.564461722890082e-06,
|
| 414 |
+
"loss": 0.461,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 1.888,
|
| 419 |
+
"grad_norm": 0.39722581396114753,
|
| 420 |
+
"learning_rate": 7.199186457750931e-06,
|
| 421 |
+
"loss": 0.5036,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 1.92,
|
| 426 |
+
"grad_norm": 0.3707840503108745,
|
| 427 |
+
"learning_rate": 6.837923331031761e-06,
|
| 428 |
+
"loss": 0.4449,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 1.952,
|
| 433 |
+
"grad_norm": 0.5482704117501644,
|
| 434 |
+
"learning_rate": 6.48118984868167e-06,
|
| 435 |
+
"loss": 0.492,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 1.984,
|
| 440 |
+
"grad_norm": 0.37776373909746913,
|
| 441 |
+
"learning_rate": 6.129497027977829e-06,
|
| 442 |
+
"loss": 0.4131,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 2.016,
|
| 447 |
+
"grad_norm": 0.8547764035968157,
|
| 448 |
+
"learning_rate": 5.78334866549816e-06,
|
| 449 |
+
"loss": 0.8721,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 2.048,
|
| 454 |
+
"grad_norm": 0.4825739846598577,
|
| 455 |
+
"learning_rate": 5.443240615437586e-06,
|
| 456 |
+
"loss": 0.4129,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 2.08,
|
| 461 |
+
"grad_norm": 0.48613435690189827,
|
| 462 |
+
"learning_rate": 5.109660079301668e-06,
|
| 463 |
+
"loss": 0.4016,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 2.112,
|
| 468 |
+
"grad_norm": 0.5173122404541247,
|
| 469 |
+
"learning_rate": 4.783084907995156e-06,
|
| 470 |
+
"loss": 0.4602,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 2.144,
|
| 475 |
+
"grad_norm": 0.4177033225672536,
|
| 476 |
+
"learning_rate": 4.463982917305155e-06,
|
| 477 |
+
"loss": 0.4306,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 2.176,
|
| 482 |
+
"grad_norm": 0.47335210102568437,
|
| 483 |
+
"learning_rate": 4.152811217759529e-06,
|
| 484 |
+
"loss": 0.4554,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 2.208,
|
| 489 |
+
"grad_norm": 0.5212910634677221,
|
| 490 |
+
"learning_rate": 3.850015559820465e-06,
|
| 491 |
+
"loss": 0.4453,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 2.24,
|
| 496 |
+
"grad_norm": 0.4937857543597342,
|
| 497 |
+
"learning_rate": 3.5560296953512296e-06,
|
| 498 |
+
"loss": 0.4501,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 2.2720000000000002,
|
| 503 |
+
"grad_norm": 0.456794357715941,
|
| 504 |
+
"learning_rate": 3.2712747562708115e-06,
|
| 505 |
+
"loss": 0.4418,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 2.304,
|
| 510 |
+
"grad_norm": 0.41067614923626466,
|
| 511 |
+
"learning_rate": 2.9961586512864947e-06,
|
| 512 |
+
"loss": 0.3938,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 2.336,
|
| 517 |
+
"grad_norm": 0.5398460548951893,
|
| 518 |
+
"learning_rate": 2.7310754815685627e-06,
|
| 519 |
+
"loss": 0.5264,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 2.368,
|
| 524 |
+
"grad_norm": 0.39421897779539533,
|
| 525 |
+
"learning_rate": 2.4764049762041874e-06,
|
| 526 |
+
"loss": 0.4214,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 2.4,
|
| 531 |
+
"grad_norm": 0.45677772727826993,
|
| 532 |
+
"learning_rate": 2.2325119482391466e-06,
|
| 533 |
+
"loss": 0.4438,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 2.432,
|
| 538 |
+
"grad_norm": 0.3614990193323558,
|
| 539 |
+
"learning_rate": 1.9997457720866554e-06,
|
| 540 |
+
"loss": 0.3733,
|
| 541 |
+
"step": 76
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 2.464,
|
| 545 |
+
"grad_norm": 0.4657826146229637,
|
| 546 |
+
"learning_rate": 1.7784398830519002e-06,
|
| 547 |
+
"loss": 0.4528,
|
| 548 |
+
"step": 77
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 2.496,
|
| 552 |
+
"grad_norm": 0.37950794177613073,
|
| 553 |
+
"learning_rate": 1.5689112996891576e-06,
|
| 554 |
+
"loss": 0.4219,
|
| 555 |
+
"step": 78
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 2.528,
|
| 559 |
+
"grad_norm": 0.40926112347112487,
|
| 560 |
+
"learning_rate": 1.3714601696757713e-06,
|
| 561 |
+
"loss": 0.4557,
|
| 562 |
+
"step": 79
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 2.56,
|
| 566 |
+
"grad_norm": 0.3444002577522251,
|
| 567 |
+
"learning_rate": 1.1863693398535115e-06,
|
| 568 |
+
"loss": 0.3943,
|
| 569 |
+
"step": 80
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 2.592,
|
| 573 |
+
"grad_norm": 0.3404781664005299,
|
| 574 |
+
"learning_rate": 1.01390395105318e-06,
|
| 575 |
+
"loss": 0.4281,
|
| 576 |
+
"step": 81
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 2.624,
|
| 580 |
+
"grad_norm": 0.3448953746542976,
|
| 581 |
+
"learning_rate": 8.543110582829272e-07,
|
| 582 |
+
"loss": 0.4293,
|
| 583 |
+
"step": 82
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 2.656,
|
| 587 |
+
"grad_norm": 0.320896402093994,
|
| 588 |
+
"learning_rate": 7.078192768243486e-07,
|
| 589 |
+
"loss": 0.3955,
|
| 590 |
+
"step": 83
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 2.6879999999999997,
|
| 594 |
+
"grad_norm": 0.3635340073918507,
|
| 595 |
+
"learning_rate": 5.746384547432738e-07,
|
| 596 |
+
"loss": 0.4496,
|
| 597 |
+
"step": 84
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 2.7199999999999998,
|
| 601 |
+
"grad_norm": 0.3153399588065185,
|
| 602 |
+
"learning_rate": 4.549593722844492e-07,
|
| 603 |
+
"loss": 0.3784,
|
| 604 |
+
"step": 85
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 2.752,
|
| 608 |
+
"grad_norm": 0.32229126417822246,
|
| 609 |
+
"learning_rate": 3.4895346858066723e-07,
|
| 610 |
+
"loss": 0.4526,
|
| 611 |
+
"step": 86
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 2.784,
|
| 615 |
+
"grad_norm": 0.33084039803529036,
|
| 616 |
+
"learning_rate": 2.5677259606786686e-07,
|
| 617 |
+
"loss": 0.3698,
|
| 618 |
+
"step": 87
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 2.816,
|
| 622 |
+
"grad_norm": 0.3521643205936658,
|
| 623 |
+
"learning_rate": 1.7854880295797406e-07,
|
| 624 |
+
"loss": 0.4528,
|
| 625 |
+
"step": 88
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 2.848,
|
| 629 |
+
"grad_norm": 0.3379615978848595,
|
| 630 |
+
"learning_rate": 1.1439414408111471e-07,
|
| 631 |
+
"loss": 0.4464,
|
| 632 |
+
"step": 89
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 2.88,
|
| 636 |
+
"grad_norm": 0.3383417229866119,
|
| 637 |
+
"learning_rate": 6.440052036815081e-08,
|
| 638 |
+
"loss": 0.3912,
|
| 639 |
+
"step": 90
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 2.912,
|
| 643 |
+
"grad_norm": 0.3088668241871979,
|
| 644 |
+
"learning_rate": 2.86395472034795e-08,
|
| 645 |
+
"loss": 0.4426,
|
| 646 |
+
"step": 91
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 2.944,
|
| 650 |
+
"grad_norm": 0.32476651809192353,
|
| 651 |
+
"learning_rate": 7.162451836685291e-09,
|
| 652 |
+
"loss": 0.4281,
|
| 653 |
+
"step": 92
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 2.976,
|
| 657 |
+
"grad_norm": 0.3358967063808013,
|
| 658 |
+
"learning_rate": 0.0,
|
| 659 |
+
"loss": 0.4736,
|
| 660 |
+
"step": 93
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 2.976,
|
| 664 |
+
"step": 93,
|
| 665 |
+
"total_flos": 1.818538711009198e+17,
|
| 666 |
+
"train_loss": 0.53916282679445,
|
| 667 |
+
"train_runtime": 9093.0931,
|
| 668 |
+
"train_samples_per_second": 0.989,
|
| 669 |
+
"train_steps_per_second": 0.01
|
| 670 |
+
}
|
| 671 |
+
],
|
| 672 |
+
"logging_steps": 1.0,
|
| 673 |
+
"max_steps": 93,
|
| 674 |
+
"num_input_tokens_seen": 0,
|
| 675 |
+
"num_train_epochs": 3,
|
| 676 |
+
"save_steps": 500,
|
| 677 |
+
"stateful_callbacks": {
|
| 678 |
+
"TrainerControl": {
|
| 679 |
+
"args": {
|
| 680 |
+
"should_epoch_stop": false,
|
| 681 |
+
"should_evaluate": false,
|
| 682 |
+
"should_log": false,
|
| 683 |
+
"should_save": true,
|
| 684 |
+
"should_training_stop": true
|
| 685 |
+
},
|
| 686 |
+
"attributes": {}
|
| 687 |
+
}
|
| 688 |
+
},
|
| 689 |
+
"total_flos": 1.818538711009198e+17,
|
| 690 |
+
"train_batch_size": 1,
|
| 691 |
+
"trial_name": null,
|
| 692 |
+
"trial_params": null
|
| 693 |
+
}
|
training_loss.png
ADDED
|