Model save
Browse files- README.md +17 -21
- all_results.json +4 -4
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- train_results.json +4 -4
- trainer_state.json +143 -143
README.md
CHANGED
|
@@ -1,33 +1,29 @@
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
-
base_model: plaguss/zephyr-7b-spin-
|
| 4 |
tags:
|
| 5 |
-
- alignment-handbook
|
| 6 |
- generated_from_trainer
|
| 7 |
-
datasets:
|
| 8 |
-
- argilla/10k_prompts_SPIN_iter1_zephyr_top
|
| 9 |
-
- argilla/10k_prompts_SPIN_iter2_zephyr_top
|
| 10 |
model-index:
|
| 11 |
-
- name:
|
| 12 |
results: []
|
| 13 |
---
|
| 14 |
|
| 15 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 16 |
should probably proofread and complete it, then remove this comment. -->
|
| 17 |
|
| 18 |
-
#
|
| 19 |
|
| 20 |
-
This model is a fine-tuned version of [plaguss/zephyr-7b-spin-
|
| 21 |
It achieves the following results on the evaluation set:
|
| 22 |
-
- Loss: 0.
|
| 23 |
-
- Rewards/real: -
|
| 24 |
-
- Rewards/generated: -
|
| 25 |
-
- Rewards/accuracies: 0.
|
| 26 |
-
- Rewards/margins:
|
| 27 |
-
- Logps/generated: -
|
| 28 |
-
- Logps/real: -278.
|
| 29 |
-
- Logits/generated: -2.
|
| 30 |
-
- Logits/real: -2.
|
| 31 |
|
| 32 |
## Model description
|
| 33 |
|
|
@@ -64,10 +60,10 @@ The following hyperparameters were used during training:
|
|
| 64 |
|
| 65 |
| Training Loss | Epoch | Step | Validation Loss | Rewards/real | Rewards/generated | Rewards/accuracies | Rewards/margins | Logps/generated | Logps/real | Logits/generated | Logits/real |
|
| 66 |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
|
| 67 |
-
|
|
| 68 |
-
| 0.
|
| 69 |
-
| 0.
|
| 70 |
-
| 0.
|
| 71 |
|
| 72 |
|
| 73 |
### Framework versions
|
|
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
+
base_model: plaguss/zephyr-7b-spin-iter2-v0
|
| 4 |
tags:
|
|
|
|
| 5 |
- generated_from_trainer
|
|
|
|
|
|
|
|
|
|
| 6 |
model-index:
|
| 7 |
+
- name: zephyr-7b-spin-iter3-v0
|
| 8 |
results: []
|
| 9 |
---
|
| 10 |
|
| 11 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 12 |
should probably proofread and complete it, then remove this comment. -->
|
| 13 |
|
| 14 |
+
# zephyr-7b-spin-iter3-v0
|
| 15 |
|
| 16 |
+
This model is a fine-tuned version of [plaguss/zephyr-7b-spin-iter2-v0](https://huggingface.co/plaguss/zephyr-7b-spin-iter2-v0) on the None dataset.
|
| 17 |
It achieves the following results on the evaluation set:
|
| 18 |
+
- Loss: 0.1099
|
| 19 |
+
- Rewards/real: -2.9181
|
| 20 |
+
- Rewards/generated: -29.6970
|
| 21 |
+
- Rewards/accuracies: 0.9271
|
| 22 |
+
- Rewards/margins: 26.7789
|
| 23 |
+
- Logps/generated: -702.4378
|
| 24 |
+
- Logps/real: -278.1470
|
| 25 |
+
- Logits/generated: -2.8177
|
| 26 |
+
- Logits/real: -2.8051
|
| 27 |
|
| 28 |
## Model description
|
| 29 |
|
|
|
|
| 60 |
|
| 61 |
| Training Loss | Epoch | Step | Validation Loss | Rewards/real | Rewards/generated | Rewards/accuracies | Rewards/margins | Logps/generated | Logps/real | Logits/generated | Logits/real |
|
| 62 |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
|
| 63 |
+
| 0.2928 | 0.49 | 25 | 0.3951 | -2.6212 | -20.3268 | 0.9062 | 17.7056 | -700.5638 | -278.0876 | -2.8098 | -2.8090 |
|
| 64 |
+
| 0.1487 | 0.97 | 50 | 0.1319 | -2.9077 | -29.1459 | 0.9375 | 26.2382 | -702.3276 | -278.1449 | -2.8218 | -2.8066 |
|
| 65 |
+
| 0.006 | 1.46 | 75 | 0.1269 | -2.6037 | -29.1519 | 0.9583 | 26.5482 | -702.3289 | -278.0841 | -2.8175 | -2.8037 |
|
| 66 |
+
| 0.0086 | 1.94 | 100 | 0.1099 | -2.9181 | -29.6970 | 0.9271 | 26.7789 | -702.4378 | -278.1470 | -2.8177 | -2.8051 |
|
| 67 |
|
| 68 |
|
| 69 |
### Framework versions
|
all_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 1.98,
|
| 3 |
-
"train_loss": 0.
|
| 4 |
-
"train_runtime":
|
| 5 |
"train_samples": 3296,
|
| 6 |
-
"train_samples_per_second": 2.
|
| 7 |
-
"train_steps_per_second": 0.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 1.98,
|
| 3 |
+
"train_loss": 0.1742458962578573,
|
| 4 |
+
"train_runtime": 2590.1164,
|
| 5 |
"train_samples": 3296,
|
| 6 |
+
"train_samples_per_second": 2.545,
|
| 7 |
+
"train_steps_per_second": 0.039
|
| 8 |
}
|
model-00001-of-00003.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4943162336
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d7ff4ce11c67e15a74bdced2857f247219f6d717c7a745efdf77cb2c5e0b5bfd
|
| 3 |
size 4943162336
|
model-00002-of-00003.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4999819336
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f1b2e6888d9714ab406b70141affcde42af62ef635d809e9c047ec04d2a1fb5b
|
| 3 |
size 4999819336
|
model-00003-of-00003.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4540516344
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fb0d66e326b5f6c239ab28b5feb6fefc38262e43e830c75fbb97179b361d3360
|
| 3 |
size 4540516344
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 1.98,
|
| 3 |
-
"train_loss": 0.
|
| 4 |
-
"train_runtime":
|
| 5 |
"train_samples": 3296,
|
| 6 |
-
"train_samples_per_second": 2.
|
| 7 |
-
"train_steps_per_second": 0.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 1.98,
|
| 3 |
+
"train_loss": 0.1742458962578573,
|
| 4 |
+
"train_runtime": 2590.1164,
|
| 5 |
"train_samples": 3296,
|
| 6 |
+
"train_samples_per_second": 2.545,
|
| 7 |
+
"train_steps_per_second": 0.039
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -11,10 +11,10 @@
|
|
| 11 |
{
|
| 12 |
"epoch": 0.02,
|
| 13 |
"learning_rate": 9.09090909090909e-09,
|
| 14 |
-
"logits/generated": -2.
|
| 15 |
-
"logits/real": -2.
|
| 16 |
-
"logps/generated": -
|
| 17 |
-
"logps/real": -
|
| 18 |
"loss": 0.6931,
|
| 19 |
"rewards/accuracies": 0.0,
|
| 20 |
"rewards/generated": 0.0,
|
|
@@ -25,215 +25,215 @@
|
|
| 25 |
{
|
| 26 |
"epoch": 0.19,
|
| 27 |
"learning_rate": 9.09090909090909e-08,
|
| 28 |
-
"logits/generated": -2.
|
| 29 |
-
"logits/real": -2.
|
| 30 |
-
"logps/generated": -
|
| 31 |
-
"logps/real": -
|
| 32 |
-
"loss": 0.
|
| 33 |
-
"rewards/accuracies": 0.
|
| 34 |
-
"rewards/generated": -
|
| 35 |
-
"rewards/margins":
|
| 36 |
-
"rewards/real":
|
| 37 |
"step": 10
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"epoch": 0.39,
|
| 41 |
"learning_rate": 9.010989010989011e-08,
|
| 42 |
-
"logits/generated": -2.
|
| 43 |
-
"logits/real": -2.
|
| 44 |
-
"logps/generated": -
|
| 45 |
-
"logps/real": -
|
| 46 |
-
"loss":
|
| 47 |
-
"rewards/accuracies": 0.
|
| 48 |
-
"rewards/generated": -
|
| 49 |
-
"rewards/margins":
|
| 50 |
-
"rewards/real": -
|
| 51 |
"step": 20
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 0.49,
|
| 55 |
-
"eval_logits/generated": -2.
|
| 56 |
-
"eval_logits/real": -2.
|
| 57 |
-
"eval_logps/generated": -
|
| 58 |
-
"eval_logps/real": -
|
| 59 |
-
"eval_loss": 0.
|
| 60 |
-
"eval_rewards/accuracies": 0.
|
| 61 |
-
"eval_rewards/generated": -
|
| 62 |
-
"eval_rewards/margins":
|
| 63 |
-
"eval_rewards/real": -
|
| 64 |
-
"eval_runtime":
|
| 65 |
-
"eval_samples_per_second":
|
| 66 |
-
"eval_steps_per_second": 0.
|
| 67 |
"step": 25
|
| 68 |
},
|
| 69 |
{
|
| 70 |
"epoch": 0.58,
|
| 71 |
"learning_rate": 7.912087912087911e-08,
|
| 72 |
-
"logits/generated": -2.
|
| 73 |
-
"logits/real": -2.
|
| 74 |
-
"logps/generated": -
|
| 75 |
-
"logps/real": -
|
| 76 |
-
"loss": 0.
|
| 77 |
-
"rewards/accuracies": 0.
|
| 78 |
-
"rewards/generated": -
|
| 79 |
-
"rewards/margins":
|
| 80 |
-
"rewards/real": -
|
| 81 |
"step": 30
|
| 82 |
},
|
| 83 |
{
|
| 84 |
"epoch": 0.78,
|
| 85 |
"learning_rate": 6.813186813186813e-08,
|
| 86 |
-
"logits/generated": -2.
|
| 87 |
-
"logits/real": -2.
|
| 88 |
-
"logps/generated": -
|
| 89 |
-
"logps/real": -
|
| 90 |
-
"loss": 0.
|
| 91 |
-
"rewards/accuracies": 0.
|
| 92 |
-
"rewards/generated": -
|
| 93 |
-
"rewards/margins":
|
| 94 |
-
"rewards/real":
|
| 95 |
"step": 40
|
| 96 |
},
|
| 97 |
{
|
| 98 |
"epoch": 0.97,
|
| 99 |
"learning_rate": 5.714285714285714e-08,
|
| 100 |
-
"logits/generated": -2.
|
| 101 |
-
"logits/real": -2.
|
| 102 |
-
"logps/generated": -
|
| 103 |
-
"logps/real": -274.
|
| 104 |
-
"loss": 0.
|
| 105 |
-
"rewards/accuracies": 0.
|
| 106 |
-
"rewards/generated": -
|
| 107 |
-
"rewards/margins":
|
| 108 |
-
"rewards/real":
|
| 109 |
"step": 50
|
| 110 |
},
|
| 111 |
{
|
| 112 |
"epoch": 0.97,
|
| 113 |
-
"eval_logits/generated": -2.
|
| 114 |
-
"eval_logits/real": -2.
|
| 115 |
-
"eval_logps/generated": -
|
| 116 |
-
"eval_logps/real": -
|
| 117 |
-
"eval_loss": 0.
|
| 118 |
-
"eval_rewards/accuracies": 0.
|
| 119 |
-
"eval_rewards/generated": -
|
| 120 |
-
"eval_rewards/margins":
|
| 121 |
-
"eval_rewards/real": -
|
| 122 |
-
"eval_runtime":
|
| 123 |
-
"eval_samples_per_second":
|
| 124 |
-
"eval_steps_per_second": 0.
|
| 125 |
"step": 50
|
| 126 |
},
|
| 127 |
{
|
| 128 |
"epoch": 1.17,
|
| 129 |
"learning_rate": 4.615384615384615e-08,
|
| 130 |
-
"logits/generated": -2.
|
| 131 |
-
"logits/real": -2.
|
| 132 |
-
"logps/generated": -
|
| 133 |
-
"logps/real": -
|
| 134 |
-
"loss": 0.
|
| 135 |
-
"rewards/accuracies":
|
| 136 |
-
"rewards/generated": -
|
| 137 |
-
"rewards/margins":
|
| 138 |
-
"rewards/real":
|
| 139 |
"step": 60
|
| 140 |
},
|
| 141 |
{
|
| 142 |
"epoch": 1.36,
|
| 143 |
"learning_rate": 3.516483516483517e-08,
|
| 144 |
-
"logits/generated": -2.
|
| 145 |
-
"logits/real": -2.
|
| 146 |
-
"logps/generated": -
|
| 147 |
-
"logps/real": -
|
| 148 |
-
"loss": 0.
|
| 149 |
"rewards/accuracies": 0.987500011920929,
|
| 150 |
-
"rewards/generated": -
|
| 151 |
-
"rewards/margins":
|
| 152 |
-
"rewards/real":
|
| 153 |
"step": 70
|
| 154 |
},
|
| 155 |
{
|
| 156 |
"epoch": 1.46,
|
| 157 |
-
"eval_logits/generated": -2.
|
| 158 |
-
"eval_logits/real": -2.
|
| 159 |
-
"eval_logps/generated": -
|
| 160 |
-
"eval_logps/real": -278.
|
| 161 |
-
"eval_loss": 0.
|
| 162 |
"eval_rewards/accuracies": 0.9583333134651184,
|
| 163 |
-
"eval_rewards/generated": -
|
| 164 |
-
"eval_rewards/margins":
|
| 165 |
-
"eval_rewards/real": -
|
| 166 |
-
"eval_runtime":
|
| 167 |
-
"eval_samples_per_second":
|
| 168 |
-
"eval_steps_per_second": 0.
|
| 169 |
"step": 75
|
| 170 |
},
|
| 171 |
{
|
| 172 |
"epoch": 1.55,
|
| 173 |
"learning_rate": 2.4175824175824175e-08,
|
| 174 |
-
"logits/generated": -2.
|
| 175 |
-
"logits/real": -2.
|
| 176 |
-
"logps/generated": -
|
| 177 |
-
"logps/real": -
|
| 178 |
-
"loss": 0.
|
| 179 |
"rewards/accuracies": 0.9937499761581421,
|
| 180 |
-
"rewards/generated": -
|
| 181 |
-
"rewards/margins":
|
| 182 |
-
"rewards/real":
|
| 183 |
"step": 80
|
| 184 |
},
|
| 185 |
{
|
| 186 |
"epoch": 1.75,
|
| 187 |
"learning_rate": 1.3186813186813187e-08,
|
| 188 |
-
"logits/generated": -2.
|
| 189 |
-
"logits/real": -2.
|
| 190 |
-
"logps/generated": -
|
| 191 |
-
"logps/real": -
|
| 192 |
-
"loss": 0.
|
| 193 |
-
"rewards/accuracies":
|
| 194 |
-
"rewards/generated": -
|
| 195 |
-
"rewards/margins":
|
| 196 |
-
"rewards/real":
|
| 197 |
"step": 90
|
| 198 |
},
|
| 199 |
{
|
| 200 |
"epoch": 1.94,
|
| 201 |
"learning_rate": 2.197802197802198e-09,
|
| 202 |
-
"logits/generated": -2.
|
| 203 |
-
"logits/real": -2.
|
| 204 |
-
"logps/generated": -
|
| 205 |
-
"logps/real": -
|
| 206 |
-
"loss": 0.
|
| 207 |
-
"rewards/accuracies": 0
|
| 208 |
-
"rewards/generated": -
|
| 209 |
-
"rewards/margins":
|
| 210 |
-
"rewards/real":
|
| 211 |
"step": 100
|
| 212 |
},
|
| 213 |
{
|
| 214 |
"epoch": 1.94,
|
| 215 |
-
"eval_logits/generated": -2.
|
| 216 |
-
"eval_logits/real": -2.
|
| 217 |
-
"eval_logps/generated": -
|
| 218 |
-
"eval_logps/real": -278.
|
| 219 |
-
"eval_loss": 0.
|
| 220 |
-
"eval_rewards/accuracies": 0.
|
| 221 |
-
"eval_rewards/generated": -
|
| 222 |
-
"eval_rewards/margins":
|
| 223 |
-
"eval_rewards/real": -
|
| 224 |
-
"eval_runtime":
|
| 225 |
-
"eval_samples_per_second":
|
| 226 |
-
"eval_steps_per_second": 0.
|
| 227 |
"step": 100
|
| 228 |
},
|
| 229 |
{
|
| 230 |
"epoch": 1.98,
|
| 231 |
"step": 102,
|
| 232 |
"total_flos": 0.0,
|
| 233 |
-
"train_loss": 0.
|
| 234 |
-
"train_runtime":
|
| 235 |
-
"train_samples_per_second": 2.
|
| 236 |
-
"train_steps_per_second": 0.
|
| 237 |
}
|
| 238 |
],
|
| 239 |
"logging_steps": 10,
|
|
|
|
| 11 |
{
|
| 12 |
"epoch": 0.02,
|
| 13 |
"learning_rate": 9.09090909090909e-09,
|
| 14 |
+
"logits/generated": -2.911376476287842,
|
| 15 |
+
"logits/real": -2.89278507232666,
|
| 16 |
+
"logps/generated": -668.016845703125,
|
| 17 |
+
"logps/real": -324.0830383300781,
|
| 18 |
"loss": 0.6931,
|
| 19 |
"rewards/accuracies": 0.0,
|
| 20 |
"rewards/generated": 0.0,
|
|
|
|
| 25 |
{
|
| 26 |
"epoch": 0.19,
|
| 27 |
"learning_rate": 9.09090909090909e-08,
|
| 28 |
+
"logits/generated": -2.848540782928467,
|
| 29 |
+
"logits/real": -2.8350822925567627,
|
| 30 |
+
"logps/generated": -617.5262451171875,
|
| 31 |
+
"logps/real": -255.12559509277344,
|
| 32 |
+
"loss": 0.8027,
|
| 33 |
+
"rewards/accuracies": 0.6527777910232544,
|
| 34 |
+
"rewards/generated": -6.766346454620361,
|
| 35 |
+
"rewards/margins": 4.9929962158203125,
|
| 36 |
+
"rewards/real": -1.7733497619628906,
|
| 37 |
"step": 10
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"epoch": 0.39,
|
| 41 |
"learning_rate": 9.010989010989011e-08,
|
| 42 |
+
"logits/generated": -2.8388895988464355,
|
| 43 |
+
"logits/real": -2.8330814838409424,
|
| 44 |
+
"logps/generated": -707.9961547851562,
|
| 45 |
+
"logps/real": -283.4620056152344,
|
| 46 |
+
"loss": 0.2928,
|
| 47 |
+
"rewards/accuracies": 0.9125000238418579,
|
| 48 |
+
"rewards/generated": -20.150367736816406,
|
| 49 |
+
"rewards/margins": 17.525970458984375,
|
| 50 |
+
"rewards/real": -2.6243953704833984,
|
| 51 |
"step": 20
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 0.49,
|
| 55 |
+
"eval_logits/generated": -2.8098323345184326,
|
| 56 |
+
"eval_logits/real": -2.8089659214019775,
|
| 57 |
+
"eval_logps/generated": -700.5637817382812,
|
| 58 |
+
"eval_logps/real": -278.0876159667969,
|
| 59 |
+
"eval_loss": 0.3950892686843872,
|
| 60 |
+
"eval_rewards/accuracies": 0.90625,
|
| 61 |
+
"eval_rewards/generated": -20.326812744140625,
|
| 62 |
+
"eval_rewards/margins": 17.705642700195312,
|
| 63 |
+
"eval_rewards/real": -2.6211698055267334,
|
| 64 |
+
"eval_runtime": 75.909,
|
| 65 |
+
"eval_samples_per_second": 4.848,
|
| 66 |
+
"eval_steps_per_second": 0.158,
|
| 67 |
"step": 25
|
| 68 |
},
|
| 69 |
{
|
| 70 |
"epoch": 0.58,
|
| 71 |
"learning_rate": 7.912087912087911e-08,
|
| 72 |
+
"logits/generated": -2.877678394317627,
|
| 73 |
+
"logits/real": -2.8707680702209473,
|
| 74 |
+
"logps/generated": -755.6437377929688,
|
| 75 |
+
"logps/real": -290.04058837890625,
|
| 76 |
+
"loss": 0.2615,
|
| 77 |
+
"rewards/accuracies": 0.96875,
|
| 78 |
+
"rewards/generated": -25.02899742126465,
|
| 79 |
+
"rewards/margins": 23.474206924438477,
|
| 80 |
+
"rewards/real": -1.5547949075698853,
|
| 81 |
"step": 30
|
| 82 |
},
|
| 83 |
{
|
| 84 |
"epoch": 0.78,
|
| 85 |
"learning_rate": 6.813186813186813e-08,
|
| 86 |
+
"logits/generated": -2.839968681335449,
|
| 87 |
+
"logits/real": -2.8121862411499023,
|
| 88 |
+
"logps/generated": -673.220703125,
|
| 89 |
+
"logps/real": -257.77001953125,
|
| 90 |
+
"loss": 0.1816,
|
| 91 |
+
"rewards/accuracies": 0.956250011920929,
|
| 92 |
+
"rewards/generated": -24.732364654541016,
|
| 93 |
+
"rewards/margins": 26.96199607849121,
|
| 94 |
+
"rewards/real": 2.2296276092529297,
|
| 95 |
"step": 40
|
| 96 |
},
|
| 97 |
{
|
| 98 |
"epoch": 0.97,
|
| 99 |
"learning_rate": 5.714285714285714e-08,
|
| 100 |
+
"logits/generated": -2.8406929969787598,
|
| 101 |
+
"logits/real": -2.8268864154815674,
|
| 102 |
+
"logps/generated": -727.8557739257812,
|
| 103 |
+
"logps/real": -274.7761535644531,
|
| 104 |
+
"loss": 0.1487,
|
| 105 |
+
"rewards/accuracies": 0.981249988079071,
|
| 106 |
+
"rewards/generated": -29.384685516357422,
|
| 107 |
+
"rewards/margins": 30.1076717376709,
|
| 108 |
+
"rewards/real": 0.7229812145233154,
|
| 109 |
"step": 50
|
| 110 |
},
|
| 111 |
{
|
| 112 |
"epoch": 0.97,
|
| 113 |
+
"eval_logits/generated": -2.821841239929199,
|
| 114 |
+
"eval_logits/real": -2.8065903186798096,
|
| 115 |
+
"eval_logps/generated": -702.32763671875,
|
| 116 |
+
"eval_logps/real": -278.1448974609375,
|
| 117 |
+
"eval_loss": 0.131888747215271,
|
| 118 |
+
"eval_rewards/accuracies": 0.9375,
|
| 119 |
+
"eval_rewards/generated": -29.145910263061523,
|
| 120 |
+
"eval_rewards/margins": 26.238248825073242,
|
| 121 |
+
"eval_rewards/real": -2.9076578617095947,
|
| 122 |
+
"eval_runtime": 74.4579,
|
| 123 |
+
"eval_samples_per_second": 4.942,
|
| 124 |
+
"eval_steps_per_second": 0.161,
|
| 125 |
"step": 50
|
| 126 |
},
|
| 127 |
{
|
| 128 |
"epoch": 1.17,
|
| 129 |
"learning_rate": 4.615384615384615e-08,
|
| 130 |
+
"logits/generated": -2.8634510040283203,
|
| 131 |
+
"logits/real": -2.8573107719421387,
|
| 132 |
+
"logps/generated": -768.2184448242188,
|
| 133 |
+
"logps/real": -281.481201171875,
|
| 134 |
+
"loss": 0.0249,
|
| 135 |
+
"rewards/accuracies": 0.9937499761581421,
|
| 136 |
+
"rewards/generated": -33.38450241088867,
|
| 137 |
+
"rewards/margins": 33.606407165527344,
|
| 138 |
+
"rewards/real": 0.22189739346504211,
|
| 139 |
"step": 60
|
| 140 |
},
|
| 141 |
{
|
| 142 |
"epoch": 1.36,
|
| 143 |
"learning_rate": 3.516483516483517e-08,
|
| 144 |
+
"logits/generated": -2.846198797225952,
|
| 145 |
+
"logits/real": -2.818643093109131,
|
| 146 |
+
"logps/generated": -667.6427001953125,
|
| 147 |
+
"logps/real": -262.6141052246094,
|
| 148 |
+
"loss": 0.006,
|
| 149 |
"rewards/accuracies": 0.987500011920929,
|
| 150 |
+
"rewards/generated": -29.605731964111328,
|
| 151 |
+
"rewards/margins": 33.2759895324707,
|
| 152 |
+
"rewards/real": 3.670259952545166,
|
| 153 |
"step": 70
|
| 154 |
},
|
| 155 |
{
|
| 156 |
"epoch": 1.46,
|
| 157 |
+
"eval_logits/generated": -2.8174571990966797,
|
| 158 |
+
"eval_logits/real": -2.8036582469940186,
|
| 159 |
+
"eval_logps/generated": -702.328857421875,
|
| 160 |
+
"eval_logps/real": -278.0840759277344,
|
| 161 |
+
"eval_loss": 0.12692251801490784,
|
| 162 |
"eval_rewards/accuracies": 0.9583333134651184,
|
| 163 |
+
"eval_rewards/generated": -29.151870727539062,
|
| 164 |
+
"eval_rewards/margins": 26.54817008972168,
|
| 165 |
+
"eval_rewards/real": -2.6037025451660156,
|
| 166 |
+
"eval_runtime": 74.2997,
|
| 167 |
+
"eval_samples_per_second": 4.953,
|
| 168 |
+
"eval_steps_per_second": 0.162,
|
| 169 |
"step": 75
|
| 170 |
},
|
| 171 |
{
|
| 172 |
"epoch": 1.55,
|
| 173 |
"learning_rate": 2.4175824175824175e-08,
|
| 174 |
+
"logits/generated": -2.8320305347442627,
|
| 175 |
+
"logits/real": -2.810762882232666,
|
| 176 |
+
"logps/generated": -708.1215209960938,
|
| 177 |
+
"logps/real": -277.090576171875,
|
| 178 |
+
"loss": 0.0292,
|
| 179 |
"rewards/accuracies": 0.9937499761581421,
|
| 180 |
+
"rewards/generated": -33.68733215332031,
|
| 181 |
+
"rewards/margins": 36.958492279052734,
|
| 182 |
+
"rewards/real": 3.271162748336792,
|
| 183 |
"step": 80
|
| 184 |
},
|
| 185 |
{
|
| 186 |
"epoch": 1.75,
|
| 187 |
"learning_rate": 1.3186813186813187e-08,
|
| 188 |
+
"logits/generated": -2.8205840587615967,
|
| 189 |
+
"logits/real": -2.8130674362182617,
|
| 190 |
+
"logps/generated": -704.9281005859375,
|
| 191 |
+
"logps/real": -273.8406066894531,
|
| 192 |
+
"loss": 0.0322,
|
| 193 |
+
"rewards/accuracies": 0.987500011920929,
|
| 194 |
+
"rewards/generated": -31.48798179626465,
|
| 195 |
+
"rewards/margins": 33.98870849609375,
|
| 196 |
+
"rewards/real": 2.500725746154785,
|
| 197 |
"step": 90
|
| 198 |
},
|
| 199 |
{
|
| 200 |
"epoch": 1.94,
|
| 201 |
"learning_rate": 2.197802197802198e-09,
|
| 202 |
+
"logits/generated": -2.872133255004883,
|
| 203 |
+
"logits/real": -2.856153964996338,
|
| 204 |
+
"logps/generated": -711.3128662109375,
|
| 205 |
+
"logps/real": -259.7333068847656,
|
| 206 |
+
"loss": 0.0086,
|
| 207 |
+
"rewards/accuracies": 1.0,
|
| 208 |
+
"rewards/generated": -35.352970123291016,
|
| 209 |
+
"rewards/margins": 39.97649383544922,
|
| 210 |
+
"rewards/real": 4.623520851135254,
|
| 211 |
"step": 100
|
| 212 |
},
|
| 213 |
{
|
| 214 |
"epoch": 1.94,
|
| 215 |
+
"eval_logits/generated": -2.817664384841919,
|
| 216 |
+
"eval_logits/real": -2.805149793624878,
|
| 217 |
+
"eval_logps/generated": -702.4378051757812,
|
| 218 |
+
"eval_logps/real": -278.1470031738281,
|
| 219 |
+
"eval_loss": 0.10993197560310364,
|
| 220 |
+
"eval_rewards/accuracies": 0.9270833134651184,
|
| 221 |
+
"eval_rewards/generated": -29.69696617126465,
|
| 222 |
+
"eval_rewards/margins": 26.778860092163086,
|
| 223 |
+
"eval_rewards/real": -2.918107748031616,
|
| 224 |
+
"eval_runtime": 73.9005,
|
| 225 |
+
"eval_samples_per_second": 4.98,
|
| 226 |
+
"eval_steps_per_second": 0.162,
|
| 227 |
"step": 100
|
| 228 |
},
|
| 229 |
{
|
| 230 |
"epoch": 1.98,
|
| 231 |
"step": 102,
|
| 232 |
"total_flos": 0.0,
|
| 233 |
+
"train_loss": 0.1742458962578573,
|
| 234 |
+
"train_runtime": 2590.1164,
|
| 235 |
+
"train_samples_per_second": 2.545,
|
| 236 |
+
"train_steps_per_second": 0.039
|
| 237 |
}
|
| 238 |
],
|
| 239 |
"logging_steps": 10,
|