Commit
•
c5b8a3c
1
Parent(s):
9f4d733
Model save
Browse files- README.md +78 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +310 -0
README.md
ADDED
|
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 3 |
+
library_name: peft
|
| 4 |
+
license: apache-2.0
|
| 5 |
+
tags:
|
| 6 |
+
- trl
|
| 7 |
+
- sft
|
| 8 |
+
- generated_from_trainer
|
| 9 |
+
model-index:
|
| 10 |
+
- name: Mistral-7B_task-3_60-samples_config-2
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# Mistral-7B_task-3_60-samples_config-2
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.9100
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 0.0001
|
| 41 |
+
- train_batch_size: 1
|
| 42 |
+
- eval_batch_size: 1
|
| 43 |
+
- seed: 42
|
| 44 |
+
- distributed_type: multi-GPU
|
| 45 |
+
- gradient_accumulation_steps: 16
|
| 46 |
+
- total_train_batch_size: 16
|
| 47 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 48 |
+
- lr_scheduler_type: cosine
|
| 49 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 50 |
+
- num_epochs: 50
|
| 51 |
+
|
| 52 |
+
### Training results
|
| 53 |
+
|
| 54 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 55 |
+
|:-------------:|:-------:|:----:|:---------------:|
|
| 56 |
+
| 3.6443 | 0.6957 | 2 | 3.4455 |
|
| 57 |
+
| 3.1998 | 1.7391 | 5 | 1.8330 |
|
| 58 |
+
| 1.1687 | 2.7826 | 8 | 0.7476 |
|
| 59 |
+
| 0.7861 | 3.8261 | 11 | 0.5044 |
|
| 60 |
+
| 0.3983 | 4.8696 | 14 | 0.4260 |
|
| 61 |
+
| 0.359 | 5.9130 | 17 | 0.3850 |
|
| 62 |
+
| 0.2531 | 6.9565 | 20 | 0.3752 |
|
| 63 |
+
| 0.1449 | 8.0 | 23 | 0.4619 |
|
| 64 |
+
| 0.1711 | 8.6957 | 25 | 0.5146 |
|
| 65 |
+
| 0.0704 | 9.7391 | 28 | 0.6076 |
|
| 66 |
+
| 0.0479 | 10.7826 | 31 | 0.7174 |
|
| 67 |
+
| 0.0096 | 11.8261 | 34 | 0.8062 |
|
| 68 |
+
| 0.0056 | 12.8696 | 37 | 0.8766 |
|
| 69 |
+
| 0.0024 | 13.9130 | 40 | 0.9100 |
|
| 70 |
+
|
| 71 |
+
|
| 72 |
+
### Framework versions
|
| 73 |
+
|
| 74 |
+
- PEFT 0.12.0
|
| 75 |
+
- Transformers 4.44.0
|
| 76 |
+
- Pytorch 2.1.2+cu121
|
| 77 |
+
- Datasets 2.20.0
|
| 78 |
+
- Tokenizers 0.19.1
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 167832240
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:09cbe18f8bcfb35713867a2e129dff7652f78ffc9c9c029967acc23a501e1d0d
|
| 3 |
size 167832240
|
all_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 13.91304347826087,
|
| 3 |
+
"total_flos": 6.346894531887104e+16,
|
| 4 |
+
"train_loss": 0.6619909038650803,
|
| 5 |
+
"train_runtime": 2367.3473,
|
| 6 |
+
"train_samples": 46,
|
| 7 |
+
"train_samples_per_second": 0.972,
|
| 8 |
+
"train_steps_per_second": 0.042
|
| 9 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 13.91304347826087,
|
| 3 |
+
"total_flos": 6.346894531887104e+16,
|
| 4 |
+
"train_loss": 0.6619909038650803,
|
| 5 |
+
"train_runtime": 2367.3473,
|
| 6 |
+
"train_samples": 46,
|
| 7 |
+
"train_samples_per_second": 0.972,
|
| 8 |
+
"train_steps_per_second": 0.042
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,310 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.37516140937805176,
|
| 3 |
+
"best_model_checkpoint": "data/Mistral-7B_task-3_60-samples_config-2/checkpoint-20",
|
| 4 |
+
"epoch": 13.91304347826087,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 40,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.34782608695652173,
|
| 13 |
+
"grad_norm": 17.986906051635742,
|
| 14 |
+
"learning_rate": 1e-05,
|
| 15 |
+
"loss": 3.8263,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.6956521739130435,
|
| 20 |
+
"grad_norm": 16.079301834106445,
|
| 21 |
+
"learning_rate": 2e-05,
|
| 22 |
+
"loss": 3.6443,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.6956521739130435,
|
| 27 |
+
"eval_loss": 3.4455251693725586,
|
| 28 |
+
"eval_runtime": 13.8084,
|
| 29 |
+
"eval_samples_per_second": 0.869,
|
| 30 |
+
"eval_steps_per_second": 0.869,
|
| 31 |
+
"step": 2
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 1.391304347826087,
|
| 35 |
+
"grad_norm": 14.32006549835205,
|
| 36 |
+
"learning_rate": 4e-05,
|
| 37 |
+
"loss": 3.1998,
|
| 38 |
+
"step": 4
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 1.7391304347826086,
|
| 42 |
+
"eval_loss": 1.8330297470092773,
|
| 43 |
+
"eval_runtime": 13.8064,
|
| 44 |
+
"eval_samples_per_second": 0.869,
|
| 45 |
+
"eval_steps_per_second": 0.869,
|
| 46 |
+
"step": 5
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 2.0869565217391304,
|
| 50 |
+
"grad_norm": 6.900447845458984,
|
| 51 |
+
"learning_rate": 6e-05,
|
| 52 |
+
"loss": 2.0772,
|
| 53 |
+
"step": 6
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"epoch": 2.782608695652174,
|
| 57 |
+
"grad_norm": 4.268274784088135,
|
| 58 |
+
"learning_rate": 8e-05,
|
| 59 |
+
"loss": 1.1687,
|
| 60 |
+
"step": 8
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 2.782608695652174,
|
| 64 |
+
"eval_loss": 0.7475635409355164,
|
| 65 |
+
"eval_runtime": 13.8049,
|
| 66 |
+
"eval_samples_per_second": 0.869,
|
| 67 |
+
"eval_steps_per_second": 0.869,
|
| 68 |
+
"step": 8
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 3.4782608695652173,
|
| 72 |
+
"grad_norm": 1.7821996212005615,
|
| 73 |
+
"learning_rate": 0.0001,
|
| 74 |
+
"loss": 0.7861,
|
| 75 |
+
"step": 10
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 3.8260869565217392,
|
| 79 |
+
"eval_loss": 0.5044365525245667,
|
| 80 |
+
"eval_runtime": 13.806,
|
| 81 |
+
"eval_samples_per_second": 0.869,
|
| 82 |
+
"eval_steps_per_second": 0.869,
|
| 83 |
+
"step": 11
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"epoch": 4.173913043478261,
|
| 87 |
+
"grad_norm": 0.9720113277435303,
|
| 88 |
+
"learning_rate": 9.987820251299122e-05,
|
| 89 |
+
"loss": 0.4289,
|
| 90 |
+
"step": 12
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"epoch": 4.869565217391305,
|
| 94 |
+
"grad_norm": 1.0473393201828003,
|
| 95 |
+
"learning_rate": 9.951340343707852e-05,
|
| 96 |
+
"loss": 0.3983,
|
| 97 |
+
"step": 14
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"epoch": 4.869565217391305,
|
| 101 |
+
"eval_loss": 0.4259566068649292,
|
| 102 |
+
"eval_runtime": 13.8111,
|
| 103 |
+
"eval_samples_per_second": 0.869,
|
| 104 |
+
"eval_steps_per_second": 0.869,
|
| 105 |
+
"step": 14
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 5.565217391304348,
|
| 109 |
+
"grad_norm": 0.6317740678787231,
|
| 110 |
+
"learning_rate": 9.890738003669029e-05,
|
| 111 |
+
"loss": 0.359,
|
| 112 |
+
"step": 16
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"epoch": 5.913043478260869,
|
| 116 |
+
"eval_loss": 0.38502585887908936,
|
| 117 |
+
"eval_runtime": 13.8077,
|
| 118 |
+
"eval_samples_per_second": 0.869,
|
| 119 |
+
"eval_steps_per_second": 0.869,
|
| 120 |
+
"step": 17
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"epoch": 6.260869565217392,
|
| 124 |
+
"grad_norm": 0.6458030343055725,
|
| 125 |
+
"learning_rate": 9.806308479691595e-05,
|
| 126 |
+
"loss": 0.2136,
|
| 127 |
+
"step": 18
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"epoch": 6.956521739130435,
|
| 131 |
+
"grad_norm": 0.5151018500328064,
|
| 132 |
+
"learning_rate": 9.698463103929542e-05,
|
| 133 |
+
"loss": 0.2531,
|
| 134 |
+
"step": 20
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"epoch": 6.956521739130435,
|
| 138 |
+
"eval_loss": 0.37516140937805176,
|
| 139 |
+
"eval_runtime": 13.8069,
|
| 140 |
+
"eval_samples_per_second": 0.869,
|
| 141 |
+
"eval_steps_per_second": 0.869,
|
| 142 |
+
"step": 20
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 7.6521739130434785,
|
| 146 |
+
"grad_norm": 0.46064192056655884,
|
| 147 |
+
"learning_rate": 9.567727288213005e-05,
|
| 148 |
+
"loss": 0.1449,
|
| 149 |
+
"step": 22
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 8.0,
|
| 153 |
+
"eval_loss": 0.4618639051914215,
|
| 154 |
+
"eval_runtime": 13.8049,
|
| 155 |
+
"eval_samples_per_second": 0.869,
|
| 156 |
+
"eval_steps_per_second": 0.869,
|
| 157 |
+
"step": 23
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 8.347826086956522,
|
| 161 |
+
"grad_norm": 0.44753408432006836,
|
| 162 |
+
"learning_rate": 9.414737964294636e-05,
|
| 163 |
+
"loss": 0.1711,
|
| 164 |
+
"step": 24
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 8.695652173913043,
|
| 168 |
+
"eval_loss": 0.5145867466926575,
|
| 169 |
+
"eval_runtime": 13.8075,
|
| 170 |
+
"eval_samples_per_second": 0.869,
|
| 171 |
+
"eval_steps_per_second": 0.869,
|
| 172 |
+
"step": 25
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 9.043478260869565,
|
| 176 |
+
"grad_norm": 0.706068754196167,
|
| 177 |
+
"learning_rate": 9.24024048078213e-05,
|
| 178 |
+
"loss": 0.1349,
|
| 179 |
+
"step": 26
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 9.73913043478261,
|
| 183 |
+
"grad_norm": 0.6422617435455322,
|
| 184 |
+
"learning_rate": 9.045084971874738e-05,
|
| 185 |
+
"loss": 0.0704,
|
| 186 |
+
"step": 28
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 9.73913043478261,
|
| 190 |
+
"eval_loss": 0.6075521111488342,
|
| 191 |
+
"eval_runtime": 13.8148,
|
| 192 |
+
"eval_samples_per_second": 0.869,
|
| 193 |
+
"eval_steps_per_second": 0.869,
|
| 194 |
+
"step": 28
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 10.434782608695652,
|
| 198 |
+
"grad_norm": 0.45618292689323425,
|
| 199 |
+
"learning_rate": 8.83022221559489e-05,
|
| 200 |
+
"loss": 0.0479,
|
| 201 |
+
"step": 30
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 10.782608695652174,
|
| 205 |
+
"eval_loss": 0.717354953289032,
|
| 206 |
+
"eval_runtime": 13.804,
|
| 207 |
+
"eval_samples_per_second": 0.869,
|
| 208 |
+
"eval_steps_per_second": 0.869,
|
| 209 |
+
"step": 31
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 11.130434782608695,
|
| 213 |
+
"grad_norm": 0.6182390451431274,
|
| 214 |
+
"learning_rate": 8.596699001693255e-05,
|
| 215 |
+
"loss": 0.0287,
|
| 216 |
+
"step": 32
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 11.826086956521738,
|
| 220 |
+
"grad_norm": 0.749740481376648,
|
| 221 |
+
"learning_rate": 8.345653031794292e-05,
|
| 222 |
+
"loss": 0.0096,
|
| 223 |
+
"step": 34
|
| 224 |
+
},
|
| 225 |
+
{
|
| 226 |
+
"epoch": 11.826086956521738,
|
| 227 |
+
"eval_loss": 0.8061732649803162,
|
| 228 |
+
"eval_runtime": 13.8091,
|
| 229 |
+
"eval_samples_per_second": 0.869,
|
| 230 |
+
"eval_steps_per_second": 0.869,
|
| 231 |
+
"step": 34
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 12.521739130434783,
|
| 235 |
+
"grad_norm": 0.5463645458221436,
|
| 236 |
+
"learning_rate": 8.07830737662829e-05,
|
| 237 |
+
"loss": 0.0056,
|
| 238 |
+
"step": 36
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"epoch": 12.869565217391305,
|
| 242 |
+
"eval_loss": 0.876629650592804,
|
| 243 |
+
"eval_runtime": 13.8082,
|
| 244 |
+
"eval_samples_per_second": 0.869,
|
| 245 |
+
"eval_steps_per_second": 0.869,
|
| 246 |
+
"step": 37
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 13.217391304347826,
|
| 250 |
+
"grad_norm": 0.4603806734085083,
|
| 251 |
+
"learning_rate": 7.795964517353735e-05,
|
| 252 |
+
"loss": 0.0034,
|
| 253 |
+
"step": 38
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"epoch": 13.91304347826087,
|
| 257 |
+
"grad_norm": 0.5449416041374207,
|
| 258 |
+
"learning_rate": 7.500000000000001e-05,
|
| 259 |
+
"loss": 0.0024,
|
| 260 |
+
"step": 40
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 13.91304347826087,
|
| 264 |
+
"eval_loss": 0.9099900722503662,
|
| 265 |
+
"eval_runtime": 13.8053,
|
| 266 |
+
"eval_samples_per_second": 0.869,
|
| 267 |
+
"eval_steps_per_second": 0.869,
|
| 268 |
+
"step": 40
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 13.91304347826087,
|
| 272 |
+
"step": 40,
|
| 273 |
+
"total_flos": 6.346894531887104e+16,
|
| 274 |
+
"train_loss": 0.6619909038650803,
|
| 275 |
+
"train_runtime": 2367.3473,
|
| 276 |
+
"train_samples_per_second": 0.972,
|
| 277 |
+
"train_steps_per_second": 0.042
|
| 278 |
+
}
|
| 279 |
+
],
|
| 280 |
+
"logging_steps": 2,
|
| 281 |
+
"max_steps": 100,
|
| 282 |
+
"num_input_tokens_seen": 0,
|
| 283 |
+
"num_train_epochs": 50,
|
| 284 |
+
"save_steps": 25,
|
| 285 |
+
"stateful_callbacks": {
|
| 286 |
+
"EarlyStoppingCallback": {
|
| 287 |
+
"args": {
|
| 288 |
+
"early_stopping_patience": 7,
|
| 289 |
+
"early_stopping_threshold": 0.0
|
| 290 |
+
},
|
| 291 |
+
"attributes": {
|
| 292 |
+
"early_stopping_patience_counter": 0
|
| 293 |
+
}
|
| 294 |
+
},
|
| 295 |
+
"TrainerControl": {
|
| 296 |
+
"args": {
|
| 297 |
+
"should_epoch_stop": false,
|
| 298 |
+
"should_evaluate": false,
|
| 299 |
+
"should_log": false,
|
| 300 |
+
"should_save": true,
|
| 301 |
+
"should_training_stop": true
|
| 302 |
+
},
|
| 303 |
+
"attributes": {}
|
| 304 |
+
}
|
| 305 |
+
},
|
| 306 |
+
"total_flos": 6.346894531887104e+16,
|
| 307 |
+
"train_batch_size": 1,
|
| 308 |
+
"trial_name": null,
|
| 309 |
+
"trial_params": null
|
| 310 |
+
}
|