End of training
Browse files- README.md +15 -2
- all_results.json +22 -0
- eval_results.json +17 -0
- train_results.json +8 -0
- trainer_state.json +314 -0
- training_loss.png +0 -0
- training_rewards_accuracies.png +0 -0
README.md
CHANGED
|
@@ -3,9 +3,10 @@ base_model: google/gemma-2-9b-it
|
|
| 3 |
library_name: peft
|
| 4 |
license: gemma
|
| 5 |
tags:
|
|
|
|
|
|
|
| 6 |
- trl
|
| 7 |
- dpo
|
| 8 |
-
- llama-factory
|
| 9 |
- generated_from_trainer
|
| 10 |
model-index:
|
| 11 |
- name: Gemma-2-9B-It-SAA
|
|
@@ -17,7 +18,19 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 17 |
|
| 18 |
# Gemma-2-9B-It-SAA
|
| 19 |
|
| 20 |
-
This model is a fine-tuned version of [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) on
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 21 |
|
| 22 |
## Model description
|
| 23 |
|
|
|
|
| 3 |
library_name: peft
|
| 4 |
license: gemma
|
| 5 |
tags:
|
| 6 |
+
- llama-factory
|
| 7 |
+
- lora
|
| 8 |
- trl
|
| 9 |
- dpo
|
|
|
|
| 10 |
- generated_from_trainer
|
| 11 |
model-index:
|
| 12 |
- name: Gemma-2-9B-It-SAA
|
|
|
|
| 18 |
|
| 19 |
# Gemma-2-9B-It-SAA
|
| 20 |
|
| 21 |
+
This model is a fine-tuned version of [google/gemma-2-9b-it](https://huggingface.co/google/gemma-2-9b-it) on the bct_non_cot_dpo_1000 dataset.
|
| 22 |
+
It achieves the following results on the evaluation set:
|
| 23 |
+
- Loss: 0.2066
|
| 24 |
+
- Rewards/chosen: -0.0162
|
| 25 |
+
- Rewards/rejected: -0.0908
|
| 26 |
+
- Rewards/accuracies: 0.8300
|
| 27 |
+
- Rewards/margins: 0.0746
|
| 28 |
+
- Logps/rejected: -0.9081
|
| 29 |
+
- Logps/chosen: -0.1623
|
| 30 |
+
- Logits/rejected: 0.1790
|
| 31 |
+
- Logits/chosen: -0.2699
|
| 32 |
+
- Sft Loss: 0.0178
|
| 33 |
+
- Odds Ratio Loss: 1.8881
|
| 34 |
|
| 35 |
## Model description
|
| 36 |
|
all_results.json
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.986666666666667,
|
| 3 |
+
"eval_logits/chosen": -0.26991021633148193,
|
| 4 |
+
"eval_logits/rejected": 0.17896275222301483,
|
| 5 |
+
"eval_logps/chosen": -0.16233521699905396,
|
| 6 |
+
"eval_logps/rejected": -0.90810227394104,
|
| 7 |
+
"eval_loss": 0.20663729310035706,
|
| 8 |
+
"eval_odds_ratio_loss": 1.8880867958068848,
|
| 9 |
+
"eval_rewards/accuracies": 0.8299999833106995,
|
| 10 |
+
"eval_rewards/chosen": -0.016233522444963455,
|
| 11 |
+
"eval_rewards/margins": 0.0745767131447792,
|
| 12 |
+
"eval_rewards/rejected": -0.09081023186445236,
|
| 13 |
+
"eval_runtime": 6.9404,
|
| 14 |
+
"eval_samples_per_second": 14.408,
|
| 15 |
+
"eval_sft_loss": 0.017828578129410744,
|
| 16 |
+
"eval_steps_per_second": 7.204,
|
| 17 |
+
"total_flos": 3.471912421559501e+16,
|
| 18 |
+
"train_loss": 1.00575195536727,
|
| 19 |
+
"train_runtime": 639.1511,
|
| 20 |
+
"train_samples_per_second": 4.224,
|
| 21 |
+
"train_steps_per_second": 0.263
|
| 22 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.986666666666667,
|
| 3 |
+
"eval_logits/chosen": -0.26991021633148193,
|
| 4 |
+
"eval_logits/rejected": 0.17896275222301483,
|
| 5 |
+
"eval_logps/chosen": -0.16233521699905396,
|
| 6 |
+
"eval_logps/rejected": -0.90810227394104,
|
| 7 |
+
"eval_loss": 0.20663729310035706,
|
| 8 |
+
"eval_odds_ratio_loss": 1.8880867958068848,
|
| 9 |
+
"eval_rewards/accuracies": 0.8299999833106995,
|
| 10 |
+
"eval_rewards/chosen": -0.016233522444963455,
|
| 11 |
+
"eval_rewards/margins": 0.0745767131447792,
|
| 12 |
+
"eval_rewards/rejected": -0.09081023186445236,
|
| 13 |
+
"eval_runtime": 6.9404,
|
| 14 |
+
"eval_samples_per_second": 14.408,
|
| 15 |
+
"eval_sft_loss": 0.017828578129410744,
|
| 16 |
+
"eval_steps_per_second": 7.204
|
| 17 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.986666666666667,
|
| 3 |
+
"total_flos": 3.471912421559501e+16,
|
| 4 |
+
"train_loss": 1.00575195536727,
|
| 5 |
+
"train_runtime": 639.1511,
|
| 6 |
+
"train_samples_per_second": 4.224,
|
| 7 |
+
"train_steps_per_second": 0.263
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,314 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.986666666666667,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 168,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.17777777777777778,
|
| 13 |
+
"grad_norm": 7.6314873695373535,
|
| 14 |
+
"learning_rate": 2.9411764705882355e-06,
|
| 15 |
+
"logits/chosen": -0.6844646334648132,
|
| 16 |
+
"logits/rejected": -0.35283079743385315,
|
| 17 |
+
"logps/chosen": -2.9458744525909424,
|
| 18 |
+
"logps/rejected": -3.7147631645202637,
|
| 19 |
+
"loss": 2.9904,
|
| 20 |
+
"odds_ratio_loss": 25.87075424194336,
|
| 21 |
+
"rewards/accuracies": 0.8125,
|
| 22 |
+
"rewards/chosen": -0.2945874333381653,
|
| 23 |
+
"rewards/margins": 0.07688888907432556,
|
| 24 |
+
"rewards/rejected": -0.37147635221481323,
|
| 25 |
+
"sft_loss": 0.40333542227745056,
|
| 26 |
+
"step": 10
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.35555555555555557,
|
| 30 |
+
"grad_norm": 9.168193817138672,
|
| 31 |
+
"learning_rate": 4.995131923687488e-06,
|
| 32 |
+
"logits/chosen": -0.3836471438407898,
|
| 33 |
+
"logits/rejected": 0.008832636289298534,
|
| 34 |
+
"logps/chosen": -2.8614296913146973,
|
| 35 |
+
"logps/rejected": -3.626382350921631,
|
| 36 |
+
"loss": 2.9085,
|
| 37 |
+
"odds_ratio_loss": 25.276187896728516,
|
| 38 |
+
"rewards/accuracies": 0.793749988079071,
|
| 39 |
+
"rewards/chosen": -0.2861429452896118,
|
| 40 |
+
"rewards/margins": 0.07649530470371246,
|
| 41 |
+
"rewards/rejected": -0.3626382648944855,
|
| 42 |
+
"sft_loss": 0.3808932900428772,
|
| 43 |
+
"step": 20
|
| 44 |
+
},
|
| 45 |
+
{
|
| 46 |
+
"epoch": 0.5333333333333333,
|
| 47 |
+
"grad_norm": 8.867982864379883,
|
| 48 |
+
"learning_rate": 4.90911473983908e-06,
|
| 49 |
+
"logits/chosen": -0.5513006448745728,
|
| 50 |
+
"logits/rejected": -0.1812809407711029,
|
| 51 |
+
"logps/chosen": -2.488701343536377,
|
| 52 |
+
"logps/rejected": -3.2581515312194824,
|
| 53 |
+
"loss": 2.5338,
|
| 54 |
+
"odds_ratio_loss": 22.105247497558594,
|
| 55 |
+
"rewards/accuracies": 0.8500000238418579,
|
| 56 |
+
"rewards/chosen": -0.2488701343536377,
|
| 57 |
+
"rewards/margins": 0.07694502174854279,
|
| 58 |
+
"rewards/rejected": -0.3258151412010193,
|
| 59 |
+
"sft_loss": 0.32325050234794617,
|
| 60 |
+
"step": 30
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 0.7111111111111111,
|
| 64 |
+
"grad_norm": 6.930299282073975,
|
| 65 |
+
"learning_rate": 4.71919261421297e-06,
|
| 66 |
+
"logits/chosen": -0.542073667049408,
|
| 67 |
+
"logits/rejected": -0.3160572946071625,
|
| 68 |
+
"logps/chosen": -1.9436540603637695,
|
| 69 |
+
"logps/rejected": -2.893744707107544,
|
| 70 |
+
"loss": 1.9838,
|
| 71 |
+
"odds_ratio_loss": 17.531436920166016,
|
| 72 |
+
"rewards/accuracies": 0.8687499761581421,
|
| 73 |
+
"rewards/chosen": -0.19436539709568024,
|
| 74 |
+
"rewards/margins": 0.09500905126333237,
|
| 75 |
+
"rewards/rejected": -0.289374440908432,
|
| 76 |
+
"sft_loss": 0.2306901514530182,
|
| 77 |
+
"step": 40
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"epoch": 0.8888888888888888,
|
| 81 |
+
"grad_norm": 5.411482334136963,
|
| 82 |
+
"learning_rate": 4.43355687413747e-06,
|
| 83 |
+
"logits/chosen": -0.3556787371635437,
|
| 84 |
+
"logits/rejected": -0.13702432811260223,
|
| 85 |
+
"logps/chosen": -1.401972770690918,
|
| 86 |
+
"logps/rejected": -2.2697913646698,
|
| 87 |
+
"loss": 1.4458,
|
| 88 |
+
"odds_ratio_loss": 12.927480697631836,
|
| 89 |
+
"rewards/accuracies": 0.84375,
|
| 90 |
+
"rewards/chosen": -0.1401972770690918,
|
| 91 |
+
"rewards/margins": 0.08678187429904938,
|
| 92 |
+
"rewards/rejected": -0.2269791066646576,
|
| 93 |
+
"sft_loss": 0.15308110415935516,
|
| 94 |
+
"step": 50
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 1.0666666666666667,
|
| 98 |
+
"grad_norm": 3.6417393684387207,
|
| 99 |
+
"learning_rate": 4.064526968101844e-06,
|
| 100 |
+
"logits/chosen": -0.08338828384876251,
|
| 101 |
+
"logits/rejected": 0.10747692734003067,
|
| 102 |
+
"logps/chosen": -1.0365681648254395,
|
| 103 |
+
"logps/rejected": -2.0373435020446777,
|
| 104 |
+
"loss": 1.0768,
|
| 105 |
+
"odds_ratio_loss": 9.728913307189941,
|
| 106 |
+
"rewards/accuracies": 0.8374999761581421,
|
| 107 |
+
"rewards/chosen": -0.10365680605173111,
|
| 108 |
+
"rewards/margins": 0.1000775545835495,
|
| 109 |
+
"rewards/rejected": -0.2037343531847,
|
| 110 |
+
"sft_loss": 0.10390937328338623,
|
| 111 |
+
"step": 60
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 1.2444444444444445,
|
| 115 |
+
"grad_norm": 4.931552886962891,
|
| 116 |
+
"learning_rate": 3.6280191288478437e-06,
|
| 117 |
+
"logits/chosen": -0.3539902865886688,
|
| 118 |
+
"logits/rejected": -0.07786711305379868,
|
| 119 |
+
"logps/chosen": -0.7550846338272095,
|
| 120 |
+
"logps/rejected": -1.6581230163574219,
|
| 121 |
+
"loss": 0.7984,
|
| 122 |
+
"odds_ratio_loss": 7.2239203453063965,
|
| 123 |
+
"rewards/accuracies": 0.875,
|
| 124 |
+
"rewards/chosen": -0.07550846040248871,
|
| 125 |
+
"rewards/margins": 0.09030384570360184,
|
| 126 |
+
"rewards/rejected": -0.16581231355667114,
|
| 127 |
+
"sft_loss": 0.07596994936466217,
|
| 128 |
+
"step": 70
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 1.4222222222222223,
|
| 132 |
+
"grad_norm": 4.805271148681641,
|
| 133 |
+
"learning_rate": 3.142859907420615e-06,
|
| 134 |
+
"logits/chosen": 0.25180932879447937,
|
| 135 |
+
"logits/rejected": 0.5221790671348572,
|
| 136 |
+
"logps/chosen": -0.5656775236129761,
|
| 137 |
+
"logps/rejected": -1.4922306537628174,
|
| 138 |
+
"loss": 0.6071,
|
| 139 |
+
"odds_ratio_loss": 5.452211380004883,
|
| 140 |
+
"rewards/accuracies": 0.862500011920929,
|
| 141 |
+
"rewards/chosen": -0.05656775087118149,
|
| 142 |
+
"rewards/margins": 0.09265531599521637,
|
| 143 |
+
"rewards/rejected": -0.14922307431697845,
|
| 144 |
+
"sft_loss": 0.06183191016316414,
|
| 145 |
+
"step": 80
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"epoch": 1.6,
|
| 149 |
+
"grad_norm": 3.405627965927124,
|
| 150 |
+
"learning_rate": 2.629974185404951e-06,
|
| 151 |
+
"logits/chosen": -0.19811873137950897,
|
| 152 |
+
"logits/rejected": 0.17863574624061584,
|
| 153 |
+
"logps/chosen": -0.47559866309165955,
|
| 154 |
+
"logps/rejected": -1.4184300899505615,
|
| 155 |
+
"loss": 0.5238,
|
| 156 |
+
"odds_ratio_loss": 4.697209358215332,
|
| 157 |
+
"rewards/accuracies": 0.831250011920929,
|
| 158 |
+
"rewards/chosen": -0.04755987599492073,
|
| 159 |
+
"rewards/margins": 0.09428314864635468,
|
| 160 |
+
"rewards/rejected": -0.1418430209159851,
|
| 161 |
+
"sft_loss": 0.0540793314576149,
|
| 162 |
+
"step": 90
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 1.7777777777777777,
|
| 166 |
+
"grad_norm": 3.66274356842041,
|
| 167 |
+
"learning_rate": 2.1114826863194882e-06,
|
| 168 |
+
"logits/chosen": -0.39210397005081177,
|
| 169 |
+
"logits/rejected": 0.007559856865555048,
|
| 170 |
+
"logps/chosen": -0.3131728768348694,
|
| 171 |
+
"logps/rejected": -1.3085200786590576,
|
| 172 |
+
"loss": 0.3503,
|
| 173 |
+
"odds_ratio_loss": 3.154588222503662,
|
| 174 |
+
"rewards/accuracies": 0.875,
|
| 175 |
+
"rewards/chosen": -0.03131728619337082,
|
| 176 |
+
"rewards/margins": 0.09953471273183823,
|
| 177 |
+
"rewards/rejected": -0.13085201382637024,
|
| 178 |
+
"sft_loss": 0.03485164791345596,
|
| 179 |
+
"step": 100
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 1.9555555555555557,
|
| 183 |
+
"grad_norm": 2.7570531368255615,
|
| 184 |
+
"learning_rate": 1.6097479104361328e-06,
|
| 185 |
+
"logits/chosen": -0.7070721387863159,
|
| 186 |
+
"logits/rejected": -0.22419829666614532,
|
| 187 |
+
"logps/chosen": -0.27365046739578247,
|
| 188 |
+
"logps/rejected": -1.0460803508758545,
|
| 189 |
+
"loss": 0.322,
|
| 190 |
+
"odds_ratio_loss": 2.940398693084717,
|
| 191 |
+
"rewards/accuracies": 0.8125,
|
| 192 |
+
"rewards/chosen": -0.027365049347281456,
|
| 193 |
+
"rewards/margins": 0.07724298536777496,
|
| 194 |
+
"rewards/rejected": -0.10460802167654037,
|
| 195 |
+
"sft_loss": 0.027918804436922073,
|
| 196 |
+
"step": 110
|
| 197 |
+
},
|
| 198 |
+
{
|
| 199 |
+
"epoch": 2.1333333333333333,
|
| 200 |
+
"grad_norm": 2.4038069248199463,
|
| 201 |
+
"learning_rate": 1.1464096417858821e-06,
|
| 202 |
+
"logits/chosen": -0.5680712461471558,
|
| 203 |
+
"logits/rejected": -0.28739961981773376,
|
| 204 |
+
"logps/chosen": -0.2213420867919922,
|
| 205 |
+
"logps/rejected": -1.1936922073364258,
|
| 206 |
+
"loss": 0.2601,
|
| 207 |
+
"odds_ratio_loss": 2.3274455070495605,
|
| 208 |
+
"rewards/accuracies": 0.862500011920929,
|
| 209 |
+
"rewards/chosen": -0.0221342071890831,
|
| 210 |
+
"rewards/margins": 0.09723500907421112,
|
| 211 |
+
"rewards/rejected": -0.11936922371387482,
|
| 212 |
+
"sft_loss": 0.02737104333937168,
|
| 213 |
+
"step": 120
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 2.311111111111111,
|
| 217 |
+
"grad_norm": 1.1880685091018677,
|
| 218 |
+
"learning_rate": 7.414516258630245e-07,
|
| 219 |
+
"logits/chosen": -0.5090128779411316,
|
| 220 |
+
"logits/rejected": -0.18801167607307434,
|
| 221 |
+
"logps/chosen": -0.20155474543571472,
|
| 222 |
+
"logps/rejected": -1.0635544061660767,
|
| 223 |
+
"loss": 0.2454,
|
| 224 |
+
"odds_ratio_loss": 2.2017226219177246,
|
| 225 |
+
"rewards/accuracies": 0.831250011920929,
|
| 226 |
+
"rewards/chosen": -0.02015547640621662,
|
| 227 |
+
"rewards/margins": 0.08619997650384903,
|
| 228 |
+
"rewards/rejected": -0.1063554510474205,
|
| 229 |
+
"sft_loss": 0.02521040476858616,
|
| 230 |
+
"step": 130
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 2.488888888888889,
|
| 234 |
+
"grad_norm": 6.385291576385498,
|
| 235 |
+
"learning_rate": 4.123396721497977e-07,
|
| 236 |
+
"logits/chosen": -0.4758281111717224,
|
| 237 |
+
"logits/rejected": 0.05975949764251709,
|
| 238 |
+
"logps/chosen": -0.21704864501953125,
|
| 239 |
+
"logps/rejected": -1.0010992288589478,
|
| 240 |
+
"loss": 0.2694,
|
| 241 |
+
"odds_ratio_loss": 2.4016900062561035,
|
| 242 |
+
"rewards/accuracies": 0.8374999761581421,
|
| 243 |
+
"rewards/chosen": -0.021704863756895065,
|
| 244 |
+
"rewards/margins": 0.07840504497289658,
|
| 245 |
+
"rewards/rejected": -0.10010991245508194,
|
| 246 |
+
"sft_loss": 0.029203277081251144,
|
| 247 |
+
"step": 140
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 2.6666666666666665,
|
| 251 |
+
"grad_norm": 3.057594060897827,
|
| 252 |
+
"learning_rate": 1.7326835503629542e-07,
|
| 253 |
+
"logits/chosen": -0.66801917552948,
|
| 254 |
+
"logits/rejected": -0.19290518760681152,
|
| 255 |
+
"logps/chosen": -0.17285582423210144,
|
| 256 |
+
"logps/rejected": -1.0114670991897583,
|
| 257 |
+
"loss": 0.2015,
|
| 258 |
+
"odds_ratio_loss": 1.7902212142944336,
|
| 259 |
+
"rewards/accuracies": 0.887499988079071,
|
| 260 |
+
"rewards/chosen": -0.017285581678152084,
|
| 261 |
+
"rewards/margins": 0.08386112749576569,
|
| 262 |
+
"rewards/rejected": -0.10114671289920807,
|
| 263 |
+
"sft_loss": 0.02243014983832836,
|
| 264 |
+
"step": 150
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 2.8444444444444446,
|
| 268 |
+
"grad_norm": 2.3622488975524902,
|
| 269 |
+
"learning_rate": 3.4548802869627806e-08,
|
| 270 |
+
"logits/chosen": -0.27373093366622925,
|
| 271 |
+
"logits/rejected": 0.14009419083595276,
|
| 272 |
+
"logps/chosen": -0.1832386553287506,
|
| 273 |
+
"logps/rejected": -0.950977623462677,
|
| 274 |
+
"loss": 0.2228,
|
| 275 |
+
"odds_ratio_loss": 2.0095624923706055,
|
| 276 |
+
"rewards/accuracies": 0.862500011920929,
|
| 277 |
+
"rewards/chosen": -0.018323864787817,
|
| 278 |
+
"rewards/margins": 0.07677389681339264,
|
| 279 |
+
"rewards/rejected": -0.09509776532649994,
|
| 280 |
+
"sft_loss": 0.021797562018036842,
|
| 281 |
+
"step": 160
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 2.986666666666667,
|
| 285 |
+
"step": 168,
|
| 286 |
+
"total_flos": 3.471912421559501e+16,
|
| 287 |
+
"train_loss": 1.00575195536727,
|
| 288 |
+
"train_runtime": 639.1511,
|
| 289 |
+
"train_samples_per_second": 4.224,
|
| 290 |
+
"train_steps_per_second": 0.263
|
| 291 |
+
}
|
| 292 |
+
],
|
| 293 |
+
"logging_steps": 10,
|
| 294 |
+
"max_steps": 168,
|
| 295 |
+
"num_input_tokens_seen": 0,
|
| 296 |
+
"num_train_epochs": 3,
|
| 297 |
+
"save_steps": 500,
|
| 298 |
+
"stateful_callbacks": {
|
| 299 |
+
"TrainerControl": {
|
| 300 |
+
"args": {
|
| 301 |
+
"should_epoch_stop": false,
|
| 302 |
+
"should_evaluate": false,
|
| 303 |
+
"should_log": false,
|
| 304 |
+
"should_save": true,
|
| 305 |
+
"should_training_stop": true
|
| 306 |
+
},
|
| 307 |
+
"attributes": {}
|
| 308 |
+
}
|
| 309 |
+
},
|
| 310 |
+
"total_flos": 3.471912421559501e+16,
|
| 311 |
+
"train_batch_size": 2,
|
| 312 |
+
"trial_name": null,
|
| 313 |
+
"trial_params": null
|
| 314 |
+
}
|
training_loss.png
ADDED
|
training_rewards_accuracies.png
ADDED
|