End of training
Browse files- README.md +2 -1
- all_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +588 -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: fasttext_mixing_domains_top_6
|
|
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
# fasttext_mixing_domains_top_6
|
| 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: fasttext_mixing_domains_top_6
|
|
|
|
| 16 |
|
| 17 |
# fasttext_mixing_domains_top_6
|
| 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/fasttext_mixing_domains_top_6 dataset.
|
| 20 |
|
| 21 |
## Model description
|
| 22 |
|
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 73738752491520.0,
|
| 4 |
+
"train_loss": 0.7710517148176829,
|
| 5 |
+
"train_runtime": 7635.6931,
|
| 6 |
+
"train_samples_per_second": 0.981,
|
| 7 |
+
"train_steps_per_second": 0.01
|
| 8 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 73738752491520.0,
|
| 4 |
+
"train_loss": 0.7710517148176829,
|
| 5 |
+
"train_runtime": 7635.6931,
|
| 6 |
+
"train_samples_per_second": 0.981,
|
| 7 |
+
"train_steps_per_second": 0.01
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,588 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 78,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.038461538461538464,
|
| 13 |
+
"grad_norm": 6.870266914367676,
|
| 14 |
+
"learning_rate": 1.25e-06,
|
| 15 |
+
"loss": 1.1223,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.07692307692307693,
|
| 20 |
+
"grad_norm": 6.60228157043457,
|
| 21 |
+
"learning_rate": 2.5e-06,
|
| 22 |
+
"loss": 1.0548,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.11538461538461539,
|
| 27 |
+
"grad_norm": 6.515733242034912,
|
| 28 |
+
"learning_rate": 3.7500000000000005e-06,
|
| 29 |
+
"loss": 1.052,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.15384615384615385,
|
| 34 |
+
"grad_norm": 5.764657497406006,
|
| 35 |
+
"learning_rate": 5e-06,
|
| 36 |
+
"loss": 1.0166,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.19230769230769232,
|
| 41 |
+
"grad_norm": 4.684140205383301,
|
| 42 |
+
"learning_rate": 6.25e-06,
|
| 43 |
+
"loss": 0.9942,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.23076923076923078,
|
| 48 |
+
"grad_norm": 2.8065361976623535,
|
| 49 |
+
"learning_rate": 7.500000000000001e-06,
|
| 50 |
+
"loss": 0.9359,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.2692307692307692,
|
| 55 |
+
"grad_norm": 4.593384742736816,
|
| 56 |
+
"learning_rate": 8.750000000000001e-06,
|
| 57 |
+
"loss": 0.9657,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.3076923076923077,
|
| 62 |
+
"grad_norm": 4.550309181213379,
|
| 63 |
+
"learning_rate": 1e-05,
|
| 64 |
+
"loss": 0.9009,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.34615384615384615,
|
| 69 |
+
"grad_norm": 4.862745761871338,
|
| 70 |
+
"learning_rate": 9.994965332706574e-06,
|
| 71 |
+
"loss": 0.9548,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.38461538461538464,
|
| 76 |
+
"grad_norm": 4.1590962409973145,
|
| 77 |
+
"learning_rate": 9.979871469976197e-06,
|
| 78 |
+
"loss": 0.8451,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.4230769230769231,
|
| 83 |
+
"grad_norm": 3.6216330528259277,
|
| 84 |
+
"learning_rate": 9.954748808839675e-06,
|
| 85 |
+
"loss": 0.9311,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.46153846153846156,
|
| 90 |
+
"grad_norm": 2.3328566551208496,
|
| 91 |
+
"learning_rate": 9.91964794299315e-06,
|
| 92 |
+
"loss": 0.9269,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.5,
|
| 97 |
+
"grad_norm": 1.803200602531433,
|
| 98 |
+
"learning_rate": 9.874639560909118e-06,
|
| 99 |
+
"loss": 0.8337,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.5384615384615384,
|
| 104 |
+
"grad_norm": 1.7843149900436401,
|
| 105 |
+
"learning_rate": 9.819814303479268e-06,
|
| 106 |
+
"loss": 0.8367,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.5769230769230769,
|
| 111 |
+
"grad_norm": 1.253243327140808,
|
| 112 |
+
"learning_rate": 9.755282581475769e-06,
|
| 113 |
+
"loss": 0.769,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.6153846153846154,
|
| 118 |
+
"grad_norm": 1.2718814611434937,
|
| 119 |
+
"learning_rate": 9.681174353198687e-06,
|
| 120 |
+
"loss": 0.8519,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.6538461538461539,
|
| 125 |
+
"grad_norm": 1.3002601861953735,
|
| 126 |
+
"learning_rate": 9.597638862757255e-06,
|
| 127 |
+
"loss": 0.8114,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.6923076923076923,
|
| 132 |
+
"grad_norm": 1.0596836805343628,
|
| 133 |
+
"learning_rate": 9.504844339512096e-06,
|
| 134 |
+
"loss": 0.7983,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.7307692307692307,
|
| 139 |
+
"grad_norm": 1.2702919244766235,
|
| 140 |
+
"learning_rate": 9.40297765928369e-06,
|
| 141 |
+
"loss": 0.854,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.7692307692307693,
|
| 146 |
+
"grad_norm": 0.8957973122596741,
|
| 147 |
+
"learning_rate": 9.292243968009332e-06,
|
| 148 |
+
"loss": 0.7384,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.8076923076923077,
|
| 153 |
+
"grad_norm": 0.8740140199661255,
|
| 154 |
+
"learning_rate": 9.172866268606514e-06,
|
| 155 |
+
"loss": 0.8076,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.8461538461538461,
|
| 160 |
+
"grad_norm": 0.7290602922439575,
|
| 161 |
+
"learning_rate": 9.045084971874738e-06,
|
| 162 |
+
"loss": 0.7851,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.8846153846153846,
|
| 167 |
+
"grad_norm": 0.7917980551719666,
|
| 168 |
+
"learning_rate": 8.90915741234015e-06,
|
| 169 |
+
"loss": 0.8086,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.9230769230769231,
|
| 174 |
+
"grad_norm": 0.8550074696540833,
|
| 175 |
+
"learning_rate": 8.765357330018056e-06,
|
| 176 |
+
"loss": 0.7766,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.9615384615384616,
|
| 181 |
+
"grad_norm": 0.8657763004302979,
|
| 182 |
+
"learning_rate": 8.613974319136959e-06,
|
| 183 |
+
"loss": 0.8419,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 1.0,
|
| 188 |
+
"grad_norm": 0.7246716618537903,
|
| 189 |
+
"learning_rate": 8.455313244934324e-06,
|
| 190 |
+
"loss": 0.7583,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 1.0384615384615385,
|
| 195 |
+
"grad_norm": 0.7091710567474365,
|
| 196 |
+
"learning_rate": 8.289693629698564e-06,
|
| 197 |
+
"loss": 0.7392,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 1.0769230769230769,
|
| 202 |
+
"grad_norm": 0.7319567799568176,
|
| 203 |
+
"learning_rate": 8.117449009293668e-06,
|
| 204 |
+
"loss": 0.7661,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 1.1153846153846154,
|
| 209 |
+
"grad_norm": 0.6999830007553101,
|
| 210 |
+
"learning_rate": 7.938926261462366e-06,
|
| 211 |
+
"loss": 0.7241,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 1.1538461538461537,
|
| 216 |
+
"grad_norm": 0.637765109539032,
|
| 217 |
+
"learning_rate": 7.754484907260513e-06,
|
| 218 |
+
"loss": 0.7571,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 1.1923076923076923,
|
| 223 |
+
"grad_norm": 0.7767643928527832,
|
| 224 |
+
"learning_rate": 7.564496387029532e-06,
|
| 225 |
+
"loss": 0.7495,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 1.2307692307692308,
|
| 230 |
+
"grad_norm": 0.6210612654685974,
|
| 231 |
+
"learning_rate": 7.369343312364994e-06,
|
| 232 |
+
"loss": 0.7911,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 1.2692307692307692,
|
| 237 |
+
"grad_norm": 0.600116491317749,
|
| 238 |
+
"learning_rate": 7.169418695587791e-06,
|
| 239 |
+
"loss": 0.7276,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 1.3076923076923077,
|
| 244 |
+
"grad_norm": 0.6836248636245728,
|
| 245 |
+
"learning_rate": 6.965125158269619e-06,
|
| 246 |
+
"loss": 0.778,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 1.3461538461538463,
|
| 251 |
+
"grad_norm": 0.6598909497261047,
|
| 252 |
+
"learning_rate": 6.7568741204067145e-06,
|
| 253 |
+
"loss": 0.761,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 1.3846153846153846,
|
| 258 |
+
"grad_norm": 0.6266419887542725,
|
| 259 |
+
"learning_rate": 6.545084971874738e-06,
|
| 260 |
+
"loss": 0.7089,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 1.4230769230769231,
|
| 265 |
+
"grad_norm": 0.6317741870880127,
|
| 266 |
+
"learning_rate": 6.330184227833376e-06,
|
| 267 |
+
"loss": 0.7458,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 1.4615384615384617,
|
| 272 |
+
"grad_norm": 0.4944937825202942,
|
| 273 |
+
"learning_rate": 6.112604669781572e-06,
|
| 274 |
+
"loss": 0.7355,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 1.5,
|
| 279 |
+
"grad_norm": 0.5044434666633606,
|
| 280 |
+
"learning_rate": 5.892784473993184e-06,
|
| 281 |
+
"loss": 0.7276,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 1.5384615384615383,
|
| 286 |
+
"grad_norm": 0.6830148696899414,
|
| 287 |
+
"learning_rate": 5.671166329088278e-06,
|
| 288 |
+
"loss": 0.7389,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 1.5769230769230769,
|
| 293 |
+
"grad_norm": 0.5602949857711792,
|
| 294 |
+
"learning_rate": 5.448196544517168e-06,
|
| 295 |
+
"loss": 0.7485,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 1.6153846153846154,
|
| 300 |
+
"grad_norm": 0.516609787940979,
|
| 301 |
+
"learning_rate": 5.224324151752575e-06,
|
| 302 |
+
"loss": 0.7459,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 1.6538461538461537,
|
| 307 |
+
"grad_norm": 0.5174584984779358,
|
| 308 |
+
"learning_rate": 5e-06,
|
| 309 |
+
"loss": 0.7106,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 1.6923076923076923,
|
| 314 |
+
"grad_norm": 0.5429850816726685,
|
| 315 |
+
"learning_rate": 4.775675848247427e-06,
|
| 316 |
+
"loss": 0.7344,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 1.7307692307692308,
|
| 321 |
+
"grad_norm": 0.5647832751274109,
|
| 322 |
+
"learning_rate": 4.551803455482833e-06,
|
| 323 |
+
"loss": 0.6985,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 1.7692307692307692,
|
| 328 |
+
"grad_norm": 0.4936504662036896,
|
| 329 |
+
"learning_rate": 4.3288336709117246e-06,
|
| 330 |
+
"loss": 0.7706,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 1.8076923076923077,
|
| 335 |
+
"grad_norm": 0.4863971471786499,
|
| 336 |
+
"learning_rate": 4.107215526006818e-06,
|
| 337 |
+
"loss": 0.7063,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 1.8461538461538463,
|
| 342 |
+
"grad_norm": 0.4576539993286133,
|
| 343 |
+
"learning_rate": 3.887395330218429e-06,
|
| 344 |
+
"loss": 0.7289,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 1.8846153846153846,
|
| 349 |
+
"grad_norm": 0.6159549355506897,
|
| 350 |
+
"learning_rate": 3.669815772166625e-06,
|
| 351 |
+
"loss": 0.6677,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 1.9230769230769231,
|
| 356 |
+
"grad_norm": 0.48231181502342224,
|
| 357 |
+
"learning_rate": 3.4549150281252635e-06,
|
| 358 |
+
"loss": 0.7245,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 1.9615384615384617,
|
| 363 |
+
"grad_norm": 0.4837266802787781,
|
| 364 |
+
"learning_rate": 3.2431258795932863e-06,
|
| 365 |
+
"loss": 0.6666,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 2.0,
|
| 370 |
+
"grad_norm": 0.5765633583068848,
|
| 371 |
+
"learning_rate": 3.0348748417303826e-06,
|
| 372 |
+
"loss": 0.7458,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 2.0384615384615383,
|
| 377 |
+
"grad_norm": 0.44854843616485596,
|
| 378 |
+
"learning_rate": 2.83058130441221e-06,
|
| 379 |
+
"loss": 0.6414,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 2.076923076923077,
|
| 384 |
+
"grad_norm": 0.4607446789741516,
|
| 385 |
+
"learning_rate": 2.6306566876350072e-06,
|
| 386 |
+
"loss": 0.665,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 2.1153846153846154,
|
| 391 |
+
"grad_norm": 0.49104422330856323,
|
| 392 |
+
"learning_rate": 2.43550361297047e-06,
|
| 393 |
+
"loss": 0.708,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 2.1538461538461537,
|
| 398 |
+
"grad_norm": 0.5487802624702454,
|
| 399 |
+
"learning_rate": 2.245515092739488e-06,
|
| 400 |
+
"loss": 0.6931,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 2.1923076923076925,
|
| 405 |
+
"grad_norm": 0.5082237124443054,
|
| 406 |
+
"learning_rate": 2.061073738537635e-06,
|
| 407 |
+
"loss": 0.7527,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 2.230769230769231,
|
| 412 |
+
"grad_norm": 0.3936366140842438,
|
| 413 |
+
"learning_rate": 1.8825509907063328e-06,
|
| 414 |
+
"loss": 0.6653,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 2.269230769230769,
|
| 419 |
+
"grad_norm": 0.4543362259864807,
|
| 420 |
+
"learning_rate": 1.7103063703014372e-06,
|
| 421 |
+
"loss": 0.731,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 2.3076923076923075,
|
| 426 |
+
"grad_norm": 0.4479061961174011,
|
| 427 |
+
"learning_rate": 1.544686755065677e-06,
|
| 428 |
+
"loss": 0.6771,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 2.3461538461538463,
|
| 433 |
+
"grad_norm": 0.4659906029701233,
|
| 434 |
+
"learning_rate": 1.3860256808630429e-06,
|
| 435 |
+
"loss": 0.7394,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 2.3846153846153846,
|
| 440 |
+
"grad_norm": 0.46474915742874146,
|
| 441 |
+
"learning_rate": 1.234642669981946e-06,
|
| 442 |
+
"loss": 0.6736,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 2.423076923076923,
|
| 447 |
+
"grad_norm": 0.48529791831970215,
|
| 448 |
+
"learning_rate": 1.0908425876598512e-06,
|
| 449 |
+
"loss": 0.7392,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 2.4615384615384617,
|
| 454 |
+
"grad_norm": 0.4053143560886383,
|
| 455 |
+
"learning_rate": 9.549150281252633e-07,
|
| 456 |
+
"loss": 0.7555,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 2.5,
|
| 461 |
+
"grad_norm": 0.5247453451156616,
|
| 462 |
+
"learning_rate": 8.271337313934869e-07,
|
| 463 |
+
"loss": 0.7029,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 2.5384615384615383,
|
| 468 |
+
"grad_norm": 0.3968586027622223,
|
| 469 |
+
"learning_rate": 7.077560319906696e-07,
|
| 470 |
+
"loss": 0.6822,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 2.5769230769230766,
|
| 475 |
+
"grad_norm": 0.375961571931839,
|
| 476 |
+
"learning_rate": 5.9702234071631e-07,
|
| 477 |
+
"loss": 0.7254,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 2.6153846153846154,
|
| 482 |
+
"grad_norm": 0.41553905606269836,
|
| 483 |
+
"learning_rate": 4.951556604879049e-07,
|
| 484 |
+
"loss": 0.7007,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 2.6538461538461537,
|
| 489 |
+
"grad_norm": 0.38777419924736023,
|
| 490 |
+
"learning_rate": 4.0236113724274716e-07,
|
| 491 |
+
"loss": 0.6582,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 2.6923076923076925,
|
| 496 |
+
"grad_norm": 0.41188523173332214,
|
| 497 |
+
"learning_rate": 3.18825646801314e-07,
|
| 498 |
+
"loss": 0.6747,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 2.730769230769231,
|
| 503 |
+
"grad_norm": 0.4232975244522095,
|
| 504 |
+
"learning_rate": 2.447174185242324e-07,
|
| 505 |
+
"loss": 0.6905,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 2.769230769230769,
|
| 510 |
+
"grad_norm": 0.4132767915725708,
|
| 511 |
+
"learning_rate": 1.801856965207338e-07,
|
| 512 |
+
"loss": 0.7099,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 2.8076923076923075,
|
| 517 |
+
"grad_norm": 0.3853932023048401,
|
| 518 |
+
"learning_rate": 1.253604390908819e-07,
|
| 519 |
+
"loss": 0.6352,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 2.8461538461538463,
|
| 524 |
+
"grad_norm": 0.4183899462223053,
|
| 525 |
+
"learning_rate": 8.035205700685167e-08,
|
| 526 |
+
"loss": 0.721,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 2.8846153846153846,
|
| 531 |
+
"grad_norm": 0.4098947048187256,
|
| 532 |
+
"learning_rate": 4.52511911603265e-08,
|
| 533 |
+
"loss": 0.6852,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 2.9230769230769234,
|
| 538 |
+
"grad_norm": 0.39528220891952515,
|
| 539 |
+
"learning_rate": 2.012853002380466e-08,
|
| 540 |
+
"loss": 0.6431,
|
| 541 |
+
"step": 76
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 2.9615384615384617,
|
| 545 |
+
"grad_norm": 0.406534343957901,
|
| 546 |
+
"learning_rate": 5.034667293427053e-09,
|
| 547 |
+
"loss": 0.7168,
|
| 548 |
+
"step": 77
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 3.0,
|
| 552 |
+
"grad_norm": 0.35006237030029297,
|
| 553 |
+
"learning_rate": 0.0,
|
| 554 |
+
"loss": 0.6841,
|
| 555 |
+
"step": 78
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 3.0,
|
| 559 |
+
"step": 78,
|
| 560 |
+
"total_flos": 73738752491520.0,
|
| 561 |
+
"train_loss": 0.7710517148176829,
|
| 562 |
+
"train_runtime": 7635.6931,
|
| 563 |
+
"train_samples_per_second": 0.981,
|
| 564 |
+
"train_steps_per_second": 0.01
|
| 565 |
+
}
|
| 566 |
+
],
|
| 567 |
+
"logging_steps": 1.0,
|
| 568 |
+
"max_steps": 78,
|
| 569 |
+
"num_input_tokens_seen": 0,
|
| 570 |
+
"num_train_epochs": 3,
|
| 571 |
+
"save_steps": 500,
|
| 572 |
+
"stateful_callbacks": {
|
| 573 |
+
"TrainerControl": {
|
| 574 |
+
"args": {
|
| 575 |
+
"should_epoch_stop": false,
|
| 576 |
+
"should_evaluate": false,
|
| 577 |
+
"should_log": false,
|
| 578 |
+
"should_save": true,
|
| 579 |
+
"should_training_stop": true
|
| 580 |
+
},
|
| 581 |
+
"attributes": {}
|
| 582 |
+
}
|
| 583 |
+
},
|
| 584 |
+
"total_flos": 73738752491520.0,
|
| 585 |
+
"train_batch_size": 1,
|
| 586 |
+
"trial_name": null,
|
| 587 |
+
"trial_params": null
|
| 588 |
+
}
|
training_loss.png
ADDED
|