End of training
Browse files- README.md +19 -2
- all_results.json +16 -0
- eval_results.json +10 -0
- runs/Feb24_23-11-51_gitspot/events.out.tfevents.1740453904.gitspot.2290460.1 +3 -0
- train_results.json +9 -0
- trainer_state.json +455 -0
README.md
CHANGED
|
@@ -4,9 +4,23 @@ license: apache-2.0
|
|
| 4 |
base_model: facebook/bart-large
|
| 5 |
tags:
|
| 6 |
- generated_from_trainer
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7 |
model-index:
|
| 8 |
- name: bart-base-bodo
|
| 9 |
-
results:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 10 |
---
|
| 11 |
|
| 12 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -14,7 +28,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 14 |
|
| 15 |
# bart-base-bodo
|
| 16 |
|
| 17 |
-
This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on
|
|
|
|
|
|
|
|
|
|
| 18 |
|
| 19 |
## Model description
|
| 20 |
|
|
|
|
| 4 |
base_model: facebook/bart-large
|
| 5 |
tags:
|
| 6 |
- generated_from_trainer
|
| 7 |
+
datasets:
|
| 8 |
+
- Mwnthai/bodo-legal-summary-data
|
| 9 |
+
metrics:
|
| 10 |
+
- accuracy
|
| 11 |
model-index:
|
| 12 |
- name: bart-base-bodo
|
| 13 |
+
results:
|
| 14 |
+
- task:
|
| 15 |
+
name: Masked Language Modeling
|
| 16 |
+
type: fill-mask
|
| 17 |
+
dataset:
|
| 18 |
+
name: Mwnthai/bodo-legal-summary-data
|
| 19 |
+
type: Mwnthai/bodo-legal-summary-data
|
| 20 |
+
metrics:
|
| 21 |
+
- name: Accuracy
|
| 22 |
+
type: accuracy
|
| 23 |
+
value: 0.04001446442091465
|
| 24 |
---
|
| 25 |
|
| 26 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 28 |
|
| 29 |
# bart-base-bodo
|
| 30 |
|
| 31 |
+
This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on the Mwnthai/bodo-legal-summary-data dataset.
|
| 32 |
+
It achieves the following results on the evaluation set:
|
| 33 |
+
- Loss: 7.4122
|
| 34 |
+
- Accuracy: 0.0400
|
| 35 |
|
| 36 |
## Model description
|
| 37 |
|
all_results.json
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_accuracy": 0.04001446442091465,
|
| 4 |
+
"eval_loss": 7.412208080291748,
|
| 5 |
+
"eval_runtime": 76.853,
|
| 6 |
+
"eval_samples": 578,
|
| 7 |
+
"eval_samples_per_second": 7.521,
|
| 8 |
+
"eval_steps_per_second": 3.76,
|
| 9 |
+
"perplexity": 1656.0790681814292,
|
| 10 |
+
"total_flos": 1.2851147000984371e+17,
|
| 11 |
+
"train_loss": 7.479052871051595,
|
| 12 |
+
"train_runtime": 34661.0306,
|
| 13 |
+
"train_samples": 19767,
|
| 14 |
+
"train_samples_per_second": 1.711,
|
| 15 |
+
"train_steps_per_second": 0.855
|
| 16 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_accuracy": 0.04001446442091465,
|
| 4 |
+
"eval_loss": 7.412208080291748,
|
| 5 |
+
"eval_runtime": 76.853,
|
| 6 |
+
"eval_samples": 578,
|
| 7 |
+
"eval_samples_per_second": 7.521,
|
| 8 |
+
"eval_steps_per_second": 3.76,
|
| 9 |
+
"perplexity": 1656.0790681814292
|
| 10 |
+
}
|
runs/Feb24_23-11-51_gitspot/events.out.tfevents.1740453904.gitspot.2290460.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:46e0d608c5cbf4e2707b7758cf580faa503eef3cfb6de6b4d61177a4a9df2ec9
|
| 3 |
+
size 369
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"total_flos": 1.2851147000984371e+17,
|
| 4 |
+
"train_loss": 7.479052871051595,
|
| 5 |
+
"train_runtime": 34661.0306,
|
| 6 |
+
"train_samples": 19767,
|
| 7 |
+
"train_samples_per_second": 1.711,
|
| 8 |
+
"train_steps_per_second": 0.855
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,455 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 5000.0,
|
| 6 |
+
"global_step": 29652,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.050586806960744635,
|
| 13 |
+
"grad_norm": 3.026057720184326,
|
| 14 |
+
"learning_rate": 4.9156886550654254e-05,
|
| 15 |
+
"loss": 7.7479,
|
| 16 |
+
"step": 500
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.10117361392148927,
|
| 20 |
+
"grad_norm": 2.428532361984253,
|
| 21 |
+
"learning_rate": 4.831377310130851e-05,
|
| 22 |
+
"loss": 7.602,
|
| 23 |
+
"step": 1000
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.1517604208822339,
|
| 27 |
+
"grad_norm": 3.12160587310791,
|
| 28 |
+
"learning_rate": 4.7470659651962764e-05,
|
| 29 |
+
"loss": 7.5609,
|
| 30 |
+
"step": 1500
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.20234722784297854,
|
| 34 |
+
"grad_norm": 2.7097604274749756,
|
| 35 |
+
"learning_rate": 4.662754620261703e-05,
|
| 36 |
+
"loss": 7.5615,
|
| 37 |
+
"step": 2000
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.2529340348037232,
|
| 41 |
+
"grad_norm": 2.684849500656128,
|
| 42 |
+
"learning_rate": 4.578443275327128e-05,
|
| 43 |
+
"loss": 7.5591,
|
| 44 |
+
"step": 2500
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.3035208417644678,
|
| 48 |
+
"grad_norm": 2.7275538444519043,
|
| 49 |
+
"learning_rate": 4.494131930392554e-05,
|
| 50 |
+
"loss": 7.5242,
|
| 51 |
+
"step": 3000
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.35410764872521244,
|
| 55 |
+
"grad_norm": 3.8471314907073975,
|
| 56 |
+
"learning_rate": 4.409820585457979e-05,
|
| 57 |
+
"loss": 7.5216,
|
| 58 |
+
"step": 3500
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.4046944556859571,
|
| 62 |
+
"grad_norm": 3.268939971923828,
|
| 63 |
+
"learning_rate": 4.325509240523405e-05,
|
| 64 |
+
"loss": 7.5121,
|
| 65 |
+
"step": 4000
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.45528126264670177,
|
| 69 |
+
"grad_norm": 4.609728813171387,
|
| 70 |
+
"learning_rate": 4.24119789558883e-05,
|
| 71 |
+
"loss": 7.4998,
|
| 72 |
+
"step": 4500
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.5058680696074463,
|
| 76 |
+
"grad_norm": 3.0856144428253174,
|
| 77 |
+
"learning_rate": 4.156886550654257e-05,
|
| 78 |
+
"loss": 7.4945,
|
| 79 |
+
"step": 5000
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.556454876568191,
|
| 83 |
+
"grad_norm": 3.188549757003784,
|
| 84 |
+
"learning_rate": 4.072575205719682e-05,
|
| 85 |
+
"loss": 7.4944,
|
| 86 |
+
"step": 5500
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.6070416835289356,
|
| 90 |
+
"grad_norm": 3.380218982696533,
|
| 91 |
+
"learning_rate": 3.988263860785108e-05,
|
| 92 |
+
"loss": 7.5203,
|
| 93 |
+
"step": 6000
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.6576284904896803,
|
| 97 |
+
"grad_norm": 3.2636780738830566,
|
| 98 |
+
"learning_rate": 3.903952515850533e-05,
|
| 99 |
+
"loss": 7.4899,
|
| 100 |
+
"step": 6500
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.7082152974504249,
|
| 104 |
+
"grad_norm": 3.4519433975219727,
|
| 105 |
+
"learning_rate": 3.819641170915959e-05,
|
| 106 |
+
"loss": 7.4763,
|
| 107 |
+
"step": 7000
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.7588021044111696,
|
| 111 |
+
"grad_norm": 3.5375866889953613,
|
| 112 |
+
"learning_rate": 3.735329825981384e-05,
|
| 113 |
+
"loss": 7.4911,
|
| 114 |
+
"step": 7500
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.8093889113719142,
|
| 118 |
+
"grad_norm": 3.090251922607422,
|
| 119 |
+
"learning_rate": 3.65101848104681e-05,
|
| 120 |
+
"loss": 7.4606,
|
| 121 |
+
"step": 8000
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.8599757183326588,
|
| 125 |
+
"grad_norm": 2.6117258071899414,
|
| 126 |
+
"learning_rate": 3.5667071361122356e-05,
|
| 127 |
+
"loss": 7.4925,
|
| 128 |
+
"step": 8500
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.9105625252934035,
|
| 132 |
+
"grad_norm": 3.3298494815826416,
|
| 133 |
+
"learning_rate": 3.482395791177661e-05,
|
| 134 |
+
"loss": 7.4626,
|
| 135 |
+
"step": 9000
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.9611493322541481,
|
| 139 |
+
"grad_norm": 3.267622232437134,
|
| 140 |
+
"learning_rate": 3.398084446243087e-05,
|
| 141 |
+
"loss": 7.4583,
|
| 142 |
+
"step": 9500
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 1.0117361392148927,
|
| 146 |
+
"grad_norm": 3.9384641647338867,
|
| 147 |
+
"learning_rate": 3.313773101308512e-05,
|
| 148 |
+
"loss": 7.471,
|
| 149 |
+
"step": 10000
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 1.0623229461756374,
|
| 153 |
+
"grad_norm": 3.3493237495422363,
|
| 154 |
+
"learning_rate": 3.229461756373938e-05,
|
| 155 |
+
"loss": 7.4833,
|
| 156 |
+
"step": 10500
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 1.112909753136382,
|
| 160 |
+
"grad_norm": 4.062368869781494,
|
| 161 |
+
"learning_rate": 3.145150411439363e-05,
|
| 162 |
+
"loss": 7.4637,
|
| 163 |
+
"step": 11000
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 1.1634965600971268,
|
| 167 |
+
"grad_norm": 3.0285532474517822,
|
| 168 |
+
"learning_rate": 3.0608390665047894e-05,
|
| 169 |
+
"loss": 7.4524,
|
| 170 |
+
"step": 11500
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 1.2140833670578712,
|
| 174 |
+
"grad_norm": 3.087231159210205,
|
| 175 |
+
"learning_rate": 2.976527721570215e-05,
|
| 176 |
+
"loss": 7.4797,
|
| 177 |
+
"step": 12000
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 1.264670174018616,
|
| 181 |
+
"grad_norm": 2.7964272499084473,
|
| 182 |
+
"learning_rate": 2.8922163766356404e-05,
|
| 183 |
+
"loss": 7.4641,
|
| 184 |
+
"step": 12500
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 1.3152569809793606,
|
| 188 |
+
"grad_norm": 3.68481183052063,
|
| 189 |
+
"learning_rate": 2.807905031701066e-05,
|
| 190 |
+
"loss": 7.452,
|
| 191 |
+
"step": 13000
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 1.3658437879401053,
|
| 195 |
+
"grad_norm": 3.3050220012664795,
|
| 196 |
+
"learning_rate": 2.7235936867664915e-05,
|
| 197 |
+
"loss": 7.4593,
|
| 198 |
+
"step": 13500
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 1.41643059490085,
|
| 202 |
+
"grad_norm": 2.939967155456543,
|
| 203 |
+
"learning_rate": 2.639282341831917e-05,
|
| 204 |
+
"loss": 7.4565,
|
| 205 |
+
"step": 14000
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 1.4670174018615945,
|
| 209 |
+
"grad_norm": 2.9299378395080566,
|
| 210 |
+
"learning_rate": 2.5549709968973428e-05,
|
| 211 |
+
"loss": 7.4769,
|
| 212 |
+
"step": 14500
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 1.5176042088223392,
|
| 216 |
+
"grad_norm": 4.469327449798584,
|
| 217 |
+
"learning_rate": 2.470659651962768e-05,
|
| 218 |
+
"loss": 7.4498,
|
| 219 |
+
"step": 15000
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 1.5681910157830838,
|
| 223 |
+
"grad_norm": 3.3183658123016357,
|
| 224 |
+
"learning_rate": 2.386348307028194e-05,
|
| 225 |
+
"loss": 7.4527,
|
| 226 |
+
"step": 15500
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 1.6187778227438283,
|
| 230 |
+
"grad_norm": 3.6595232486724854,
|
| 231 |
+
"learning_rate": 2.3020369620936194e-05,
|
| 232 |
+
"loss": 7.4346,
|
| 233 |
+
"step": 16000
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 1.669364629704573,
|
| 237 |
+
"grad_norm": 3.1423637866973877,
|
| 238 |
+
"learning_rate": 2.217725617159045e-05,
|
| 239 |
+
"loss": 7.4697,
|
| 240 |
+
"step": 16500
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 1.7199514366653177,
|
| 244 |
+
"grad_norm": 2.9798882007598877,
|
| 245 |
+
"learning_rate": 2.1334142722244707e-05,
|
| 246 |
+
"loss": 7.4587,
|
| 247 |
+
"step": 17000
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 1.7705382436260622,
|
| 251 |
+
"grad_norm": 3.496962547302246,
|
| 252 |
+
"learning_rate": 2.0491029272898962e-05,
|
| 253 |
+
"loss": 7.4842,
|
| 254 |
+
"step": 17500
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 1.821125050586807,
|
| 258 |
+
"grad_norm": 3.2860915660858154,
|
| 259 |
+
"learning_rate": 1.9647915823553217e-05,
|
| 260 |
+
"loss": 7.4505,
|
| 261 |
+
"step": 18000
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 1.8717118575475515,
|
| 265 |
+
"grad_norm": 3.7444324493408203,
|
| 266 |
+
"learning_rate": 1.8804802374207476e-05,
|
| 267 |
+
"loss": 7.467,
|
| 268 |
+
"step": 18500
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 1.9222986645082962,
|
| 272 |
+
"grad_norm": 12.527898788452148,
|
| 273 |
+
"learning_rate": 1.796168892486173e-05,
|
| 274 |
+
"loss": 7.4629,
|
| 275 |
+
"step": 19000
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 1.972885471469041,
|
| 279 |
+
"grad_norm": 3.0026357173919678,
|
| 280 |
+
"learning_rate": 1.7118575475515986e-05,
|
| 281 |
+
"loss": 7.4508,
|
| 282 |
+
"step": 19500
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 2.0234722784297854,
|
| 286 |
+
"grad_norm": 3.080428123474121,
|
| 287 |
+
"learning_rate": 1.6275462026170245e-05,
|
| 288 |
+
"loss": 7.4562,
|
| 289 |
+
"step": 20000
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 2.0740590853905303,
|
| 293 |
+
"grad_norm": 3.0115535259246826,
|
| 294 |
+
"learning_rate": 1.54323485768245e-05,
|
| 295 |
+
"loss": 7.4614,
|
| 296 |
+
"step": 20500
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 2.1246458923512748,
|
| 300 |
+
"grad_norm": 3.0066559314727783,
|
| 301 |
+
"learning_rate": 1.4589235127478753e-05,
|
| 302 |
+
"loss": 7.4522,
|
| 303 |
+
"step": 21000
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 2.1752326993120192,
|
| 307 |
+
"grad_norm": 3.1596481800079346,
|
| 308 |
+
"learning_rate": 1.3746121678133012e-05,
|
| 309 |
+
"loss": 7.4373,
|
| 310 |
+
"step": 21500
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 2.225819506272764,
|
| 314 |
+
"grad_norm": 3.6992828845977783,
|
| 315 |
+
"learning_rate": 1.2903008228787267e-05,
|
| 316 |
+
"loss": 7.4649,
|
| 317 |
+
"step": 22000
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 2.2764063132335086,
|
| 321 |
+
"grad_norm": 2.809210777282715,
|
| 322 |
+
"learning_rate": 1.2059894779441522e-05,
|
| 323 |
+
"loss": 7.4695,
|
| 324 |
+
"step": 22500
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 2.3269931201942535,
|
| 328 |
+
"grad_norm": 3.017029047012329,
|
| 329 |
+
"learning_rate": 1.1216781330095779e-05,
|
| 330 |
+
"loss": 7.439,
|
| 331 |
+
"step": 23000
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 2.377579927154998,
|
| 335 |
+
"grad_norm": 3.747455596923828,
|
| 336 |
+
"learning_rate": 1.0373667880750036e-05,
|
| 337 |
+
"loss": 7.4468,
|
| 338 |
+
"step": 23500
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 2.4281667341157425,
|
| 342 |
+
"grad_norm": 2.9909703731536865,
|
| 343 |
+
"learning_rate": 9.53055443140429e-06,
|
| 344 |
+
"loss": 7.4568,
|
| 345 |
+
"step": 24000
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 2.4787535410764874,
|
| 349 |
+
"grad_norm": 2.6719205379486084,
|
| 350 |
+
"learning_rate": 8.687440982058546e-06,
|
| 351 |
+
"loss": 7.4599,
|
| 352 |
+
"step": 24500
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 2.529340348037232,
|
| 356 |
+
"grad_norm": 3.0623087882995605,
|
| 357 |
+
"learning_rate": 7.844327532712801e-06,
|
| 358 |
+
"loss": 7.4613,
|
| 359 |
+
"step": 25000
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 2.5799271549979768,
|
| 363 |
+
"grad_norm": 3.4007935523986816,
|
| 364 |
+
"learning_rate": 7.001214083367058e-06,
|
| 365 |
+
"loss": 7.4496,
|
| 366 |
+
"step": 25500
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 2.6305139619587212,
|
| 370 |
+
"grad_norm": 3.7014873027801514,
|
| 371 |
+
"learning_rate": 6.158100634021314e-06,
|
| 372 |
+
"loss": 7.4569,
|
| 373 |
+
"step": 26000
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 2.6811007689194657,
|
| 377 |
+
"grad_norm": 2.988811492919922,
|
| 378 |
+
"learning_rate": 5.314987184675571e-06,
|
| 379 |
+
"loss": 7.4381,
|
| 380 |
+
"step": 26500
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 2.7316875758802106,
|
| 384 |
+
"grad_norm": 4.864758014678955,
|
| 385 |
+
"learning_rate": 4.471873735329827e-06,
|
| 386 |
+
"loss": 7.4846,
|
| 387 |
+
"step": 27000
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 2.782274382840955,
|
| 391 |
+
"grad_norm": 2.810575246810913,
|
| 392 |
+
"learning_rate": 3.628760285984082e-06,
|
| 393 |
+
"loss": 7.4511,
|
| 394 |
+
"step": 27500
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 2.8328611898017,
|
| 398 |
+
"grad_norm": 3.2787814140319824,
|
| 399 |
+
"learning_rate": 2.785646836638338e-06,
|
| 400 |
+
"loss": 7.4568,
|
| 401 |
+
"step": 28000
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 2.8834479967624445,
|
| 405 |
+
"grad_norm": 3.12109637260437,
|
| 406 |
+
"learning_rate": 1.942533387292594e-06,
|
| 407 |
+
"loss": 7.4372,
|
| 408 |
+
"step": 28500
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 2.934034803723189,
|
| 412 |
+
"grad_norm": 3.1420302391052246,
|
| 413 |
+
"learning_rate": 1.0994199379468503e-06,
|
| 414 |
+
"loss": 7.4484,
|
| 415 |
+
"step": 29000
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 2.9846216106839334,
|
| 419 |
+
"grad_norm": 3.052818775177002,
|
| 420 |
+
"learning_rate": 2.5630648860110616e-07,
|
| 421 |
+
"loss": 7.461,
|
| 422 |
+
"step": 29500
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 3.0,
|
| 426 |
+
"step": 29652,
|
| 427 |
+
"total_flos": 1.2851147000984371e+17,
|
| 428 |
+
"train_loss": 7.479052871051595,
|
| 429 |
+
"train_runtime": 34661.0306,
|
| 430 |
+
"train_samples_per_second": 1.711,
|
| 431 |
+
"train_steps_per_second": 0.855
|
| 432 |
+
}
|
| 433 |
+
],
|
| 434 |
+
"logging_steps": 500,
|
| 435 |
+
"max_steps": 29652,
|
| 436 |
+
"num_input_tokens_seen": 0,
|
| 437 |
+
"num_train_epochs": 3,
|
| 438 |
+
"save_steps": 5000,
|
| 439 |
+
"stateful_callbacks": {
|
| 440 |
+
"TrainerControl": {
|
| 441 |
+
"args": {
|
| 442 |
+
"should_epoch_stop": false,
|
| 443 |
+
"should_evaluate": false,
|
| 444 |
+
"should_log": false,
|
| 445 |
+
"should_save": true,
|
| 446 |
+
"should_training_stop": true
|
| 447 |
+
},
|
| 448 |
+
"attributes": {}
|
| 449 |
+
}
|
| 450 |
+
},
|
| 451 |
+
"total_flos": 1.2851147000984371e+17,
|
| 452 |
+
"train_batch_size": 2,
|
| 453 |
+
"trial_name": null,
|
| 454 |
+
"trial_params": null
|
| 455 |
+
}
|