CharlesLi commited on
Commit
9ad5984
·
verified ·
1 Parent(s): 0efffe3

Model save

Browse files
README.md CHANGED
@@ -16,15 +16,15 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  This model was trained from scratch on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 1.6897
20
- - Rewards/chosen: -15.0625
21
- - Rewards/rejected: -16.625
22
- - Rewards/accuracies: 0.5918
23
- - Rewards/margins: 1.6172
24
- - Logps/rejected: -1952.0
25
- - Logps/chosen: -1824.0
26
- - Logits/rejected: 2.4844
27
- - Logits/chosen: 0.6445
28
 
29
  ## Model description
30
 
@@ -61,39 +61,39 @@ The following hyperparameters were used during training:
61
 
62
  | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
63
  |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
64
- | 0.5942 | 0.1047 | 100 | 0.6780 | -1.3594 | -1.5625 | 0.6055 | 0.2051 | -446.0 | -454.0 | -11.125 | -11.4375 |
65
- | 0.561 | 0.2094 | 200 | 0.6944 | -2.2188 | -2.5156 | 0.6055 | 0.2949 | -540.0 | -540.0 | -9.75 | -10.25 |
66
- | 0.5506 | 0.3141 | 300 | 0.7181 | -4.4375 | -4.8438 | 0.6074 | 0.4004 | -772.0 | -764.0 | -7.5 | -8.3125 |
67
- | 0.5233 | 0.4188 | 400 | 0.8159 | -4.0312 | -4.5 | 0.5840 | 0.4668 | -736.0 | -720.0 | -12.875 | -13.625 |
68
- | 0.5164 | 0.5236 | 500 | 0.7724 | -3.1562 | -3.8281 | 0.6270 | 0.6602 | -672.0 | -636.0 | -6.6562 | -8.3125 |
69
- | 0.5142 | 0.6283 | 600 | 0.7633 | -5.3438 | -5.7188 | 0.5645 | 0.3770 | -860.0 | -852.0 | -6.4375 | -7.4062 |
70
- | 0.4846 | 0.7330 | 700 | 0.8138 | -5.6875 | -6.3438 | 0.5996 | 0.6641 | -924.0 | -888.0 | -7.25 | -8.625 |
71
- | 0.475 | 0.8377 | 800 | 0.7354 | -5.5 | -6.0938 | 0.6133 | 0.6016 | -900.0 | -868.0 | -8.9375 | -10.0625 |
72
- | 0.4734 | 0.9424 | 900 | 0.8621 | -7.5625 | -8.3125 | 0.6074 | 0.7305 | -1120.0 | -1072.0 | -5.75 | -7.3438 |
73
- | 0.146 | 1.0471 | 1000 | 1.1525 | -10.6875 | -11.5 | 0.5684 | 0.8477 | -1440.0 | -1384.0 | -2.7031 | -4.4062 |
74
- | 0.1356 | 1.1518 | 1100 | 0.9972 | -9.1875 | -10.0625 | 0.6094 | 0.9062 | -1296.0 | -1232.0 | -3.6875 | -5.5312 |
75
- | 0.1237 | 1.2565 | 1200 | 0.9993 | -8.5 | -9.25 | 0.6016 | 0.7617 | -1216.0 | -1168.0 | -6.3438 | -8.125 |
76
- | 0.1387 | 1.3613 | 1300 | 1.1685 | -10.875 | -11.9375 | 0.5977 | 1.0625 | -1488.0 | -1408.0 | -2.4219 | -4.5625 |
77
- | 0.1298 | 1.4660 | 1400 | 1.0590 | -10.4375 | -11.5 | 0.5996 | 1.0312 | -1440.0 | -1368.0 | -2.9844 | -4.9375 |
78
- | 0.1284 | 1.5707 | 1500 | 1.1094 | -11.125 | -12.25 | 0.6191 | 1.1172 | -1512.0 | -1432.0 | -1.9766 | -3.9844 |
79
- | 0.1084 | 1.6754 | 1600 | 1.1327 | -10.8125 | -11.9375 | 0.6230 | 1.1328 | -1480.0 | -1400.0 | -2.2812 | -4.1875 |
80
- | 0.1028 | 1.7801 | 1700 | 1.1308 | -11.0 | -12.25 | 0.6230 | 1.2344 | -1512.0 | -1424.0 | -1.7031 | -3.625 |
81
- | 0.1227 | 1.8848 | 1800 | 1.0562 | -9.5 | -10.5 | 0.6113 | 0.9961 | -1336.0 | -1264.0 | -2.5156 | -4.375 |
82
- | 0.1119 | 1.9895 | 1900 | 1.1633 | -11.3125 | -12.5625 | 0.5996 | 1.2344 | -1544.0 | -1448.0 | -1.2734 | -3.1094 |
83
- | 0.0166 | 2.0942 | 2000 | 1.5515 | -14.25 | -15.75 | 0.5840 | 1.5234 | -1864.0 | -1744.0 | 1.9375 | 0.0549 |
84
- | 0.0122 | 2.1990 | 2100 | 1.6694 | -14.8125 | -16.5 | 0.6094 | 1.6484 | -1936.0 | -1800.0 | 1.5703 | -0.4121 |
85
- | 0.0158 | 2.3037 | 2200 | 1.7912 | -15.8125 | -17.5 | 0.6035 | 1.6875 | -2040.0 | -1904.0 | 2.5156 | 0.6445 |
86
- | 0.0165 | 2.4084 | 2300 | 1.7817 | -15.8125 | -17.375 | 0.5938 | 1.5703 | -2024.0 | -1896.0 | 2.9219 | 1.1172 |
87
- | 0.0169 | 2.5131 | 2400 | 1.7279 | -15.25 | -16.875 | 0.5977 | 1.5625 | -1976.0 | -1848.0 | 2.5156 | 0.6836 |
88
- | 0.0189 | 2.6178 | 2500 | 1.7443 | -15.375 | -17.0 | 0.6016 | 1.6406 | -1992.0 | -1856.0 | 2.6719 | 0.8320 |
89
- | 0.0134 | 2.7225 | 2600 | 1.6854 | -15.0 | -16.625 | 0.5898 | 1.6172 | -1952.0 | -1816.0 | 2.5469 | 0.7109 |
90
- | 0.0161 | 2.8272 | 2700 | 1.6882 | -15.0625 | -16.625 | 0.5879 | 1.625 | -1960.0 | -1824.0 | 2.5312 | 0.6836 |
91
- | 0.0165 | 2.9319 | 2800 | 1.6897 | -15.0625 | -16.625 | 0.5918 | 1.6172 | -1952.0 | -1824.0 | 2.4844 | 0.6445 |
92
 
93
 
94
  ### Framework versions
95
 
96
- - Transformers 4.44.2
97
  - Pytorch 2.3.0
98
- - Datasets 3.0.0
99
- - Tokenizers 0.19.1
 
16
 
17
  This model was trained from scratch on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 1.8393
20
+ - Rewards/chosen: -14.6875
21
+ - Rewards/rejected: -16.375
22
+ - Rewards/accuracies: 0.5938
23
+ - Rewards/margins: 1.7266
24
+ - Logps/rejected: -1928.0
25
+ - Logps/chosen: -1784.0
26
+ - Logits/rejected: 4.75
27
+ - Logits/chosen: 3.0
28
 
29
  ## Model description
30
 
 
61
 
62
  | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
63
  |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
64
+ | 0.5941 | 0.1047 | 100 | 0.6786 | -1.2578 | -1.4453 | 0.5723 | 0.1846 | -434.0 | -444.0 | -12.0625 | -12.3125 |
65
+ | 0.5458 | 0.2094 | 200 | 0.7028 | -1.6016 | -1.8203 | 0.5977 | 0.2129 | -470.0 | -478.0 | -11.625 | -12.125 |
66
+ | 0.5451 | 0.3141 | 300 | 0.7219 | -3.5 | -3.8438 | 0.6016 | 0.3516 | -672.0 | -668.0 | -9.125 | -9.75 |
67
+ | 0.5221 | 0.4188 | 400 | 0.8154 | -3.2188 | -3.7656 | 0.5859 | 0.5430 | -664.0 | -640.0 | -5.2812 | -6.375 |
68
+ | 0.5128 | 0.5236 | 500 | 0.7688 | -3.3281 | -3.9219 | 0.6094 | 0.5859 | -680.0 | -652.0 | -5.5312 | -6.5938 |
69
+ | 0.5178 | 0.6283 | 600 | 0.7540 | -3.8594 | -4.3438 | 0.5820 | 0.4902 | -724.0 | -704.0 | -5.5938 | -6.6875 |
70
+ | 0.4831 | 0.7330 | 700 | 0.7995 | -4.6562 | -5.3438 | 0.6055 | 0.6836 | -824.0 | -784.0 | -4.0625 | -5.3125 |
71
+ | 0.5004 | 0.8377 | 800 | 0.7362 | -4.2812 | -4.9062 | 0.6152 | 0.6094 | -776.0 | -748.0 | -6.125 | -7.4375 |
72
+ | 0.4651 | 0.9424 | 900 | 0.8777 | -6.8438 | -7.5938 | 0.5879 | 0.7461 | -1048.0 | -1000.0 | -3.4375 | -5.0 |
73
+ | 0.1407 | 1.0471 | 1000 | 1.0909 | -8.125 | -9.0 | 0.5801 | 0.9297 | -1192.0 | -1128.0 | -0.5938 | -2.2188 |
74
+ | 0.1332 | 1.1518 | 1100 | 1.0452 | -8.5 | -9.375 | 0.5859 | 0.8945 | -1224.0 | -1168.0 | -0.7070 | -2.6562 |
75
+ | 0.1397 | 1.2565 | 1200 | 1.0393 | -7.6875 | -8.5625 | 0.6016 | 0.8594 | -1144.0 | -1088.0 | -0.2539 | -2.0938 |
76
+ | 0.1353 | 1.3613 | 1300 | 1.0452 | -7.875 | -8.8125 | 0.5938 | 0.9609 | -1168.0 | -1104.0 | -1.7656 | -3.6406 |
77
+ | 0.122 | 1.4660 | 1400 | 1.1136 | -9.125 | -10.125 | 0.5957 | 0.9766 | -1304.0 | -1232.0 | -0.2578 | -2.1875 |
78
+ | 0.1192 | 1.5707 | 1500 | 1.1467 | -9.75 | -10.9375 | 0.5938 | 1.1719 | -1376.0 | -1296.0 | 3.0312 | 1.1953 |
79
+ | 0.12 | 1.6754 | 1600 | 1.2342 | -9.75 | -11.0625 | 0.6074 | 1.2656 | -1392.0 | -1296.0 | 1.2031 | -0.7930 |
80
+ | 0.0994 | 1.7801 | 1700 | 1.1657 | -9.4375 | -10.625 | 0.6172 | 1.2266 | -1352.0 | -1256.0 | 1.9219 | 0.1504 |
81
+ | 0.1305 | 1.8848 | 1800 | 1.0662 | -7.9375 | -8.875 | 0.5801 | 0.9648 | -1176.0 | -1112.0 | 1.3438 | -0.4492 |
82
+ | 0.1205 | 1.9895 | 1900 | 1.1693 | -9.8125 | -10.9375 | 0.5840 | 1.1328 | -1384.0 | -1296.0 | 2.5625 | 0.8477 |
83
+ | 0.0161 | 2.0942 | 2000 | 1.7204 | -14.1875 | -15.75 | 0.5918 | 1.5625 | -1864.0 | -1736.0 | 4.625 | 2.8438 |
84
+ | 0.0152 | 2.1990 | 2100 | 1.5836 | -13.125 | -14.6875 | 0.5918 | 1.5938 | -1760.0 | -1624.0 | 4.0625 | 2.3281 |
85
+ | 0.0138 | 2.3037 | 2200 | 1.7812 | -14.125 | -15.6875 | 0.5879 | 1.6016 | -1856.0 | -1728.0 | 4.5625 | 2.8125 |
86
+ | 0.0157 | 2.4084 | 2300 | 1.7642 | -14.1875 | -15.75 | 0.5820 | 1.5547 | -1864.0 | -1736.0 | 4.5 | 2.8125 |
87
+ | 0.0147 | 2.5131 | 2400 | 1.8053 | -14.5 | -16.25 | 0.5938 | 1.6953 | -1912.0 | -1768.0 | 4.8125 | 3.0938 |
88
+ | 0.0161 | 2.6178 | 2500 | 1.9172 | -15.25 | -17.0 | 0.5898 | 1.75 | -1992.0 | -1848.0 | 4.875 | 3.1562 |
89
+ | 0.014 | 2.7225 | 2600 | 1.8166 | -14.375 | -16.125 | 0.5957 | 1.6953 | -1896.0 | -1760.0 | 4.625 | 2.8906 |
90
+ | 0.0166 | 2.8272 | 2700 | 1.8285 | -14.625 | -16.375 | 0.5938 | 1.7109 | -1920.0 | -1776.0 | 4.7188 | 3.0 |
91
+ | 0.018 | 2.9319 | 2800 | 1.8393 | -14.6875 | -16.375 | 0.5938 | 1.7266 | -1928.0 | -1784.0 | 4.75 | 3.0 |
92
 
93
 
94
  ### Framework versions
95
 
96
+ - Transformers 4.45.1
97
  - Pytorch 2.3.0
98
+ - Datasets 3.0.1
99
+ - Tokenizers 0.20.0
all_results.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
  "epoch": 3.0,
3
  "total_flos": 0.0,
4
- "train_loss": 0.22519320912178067,
5
- "train_runtime": 12281.0925,
6
  "train_samples": 61119,
7
- "train_samples_per_second": 14.93,
8
- "train_steps_per_second": 0.233
9
  }
 
1
  {
2
  "epoch": 3.0,
3
  "total_flos": 0.0,
4
+ "train_loss": 0.22500331487643158,
5
+ "train_runtime": 12392.8387,
6
  "train_samples": 61119,
7
+ "train_samples_per_second": 14.795,
8
+ "train_steps_per_second": 0.231
9
  }
config.json CHANGED
@@ -6,7 +6,7 @@
6
  ],
7
  "auto_map": {
8
  "AutoConfig": "configuration_openelm.OpenELMConfig",
9
- "AutoModelForCausalLM": "modeling_openelm.OpenELMForCausalLM"
10
  },
11
  "bos_token_id": 1,
12
  "eos_token_id": 2,
@@ -119,7 +119,7 @@
119
  "rope_max_length": 4096,
120
  "share_input_output_layers": true,
121
  "torch_dtype": "bfloat16",
122
- "transformers_version": "4.44.2",
123
  "use_cache": false,
124
  "vocab_size": 32000
125
  }
 
6
  ],
7
  "auto_map": {
8
  "AutoConfig": "configuration_openelm.OpenELMConfig",
9
+ "AutoModelForCausalLM": "apple/OpenELM-1_1B--modeling_openelm.OpenELMForCausalLM"
10
  },
11
  "bos_token_id": 1,
12
  "eos_token_id": 2,
 
119
  "rope_max_length": 4096,
120
  "share_input_output_layers": true,
121
  "torch_dtype": "bfloat16",
122
+ "transformers_version": "4.45.1",
123
  "use_cache": false,
124
  "vocab_size": 32000
125
  }
generation_config.json CHANGED
@@ -2,5 +2,5 @@
2
  "_from_model_config": true,
3
  "bos_token_id": 1,
4
  "eos_token_id": 2,
5
- "transformers_version": "4.44.2"
6
  }
 
2
  "_from_model_config": true,
3
  "bos_token_id": 1,
4
  "eos_token_id": 2,
5
+ "transformers_version": "4.45.1"
6
  }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:07aa4756927cb7e35f0cda3d2e2717d1987dfb460324c1bd4e720554c5c4df6a
3
  size 2159808696
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:53856c34129c4199094ac017a85281027298aa522e4f68b3762e6f94c22fcb20
3
  size 2159808696
runs/Oct05_10-19-21_xe8545-a100-14/events.out.tfevents.1728116943.xe8545-a100-14.960812.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:64287626c0b4e3d9520790b3522e3839e0f33a1c87d6d967de062441ef5b2de4
3
+ size 225707
tokenizer.json CHANGED
The diff for this file is too large to render. See raw diff
 
train_results.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
  "epoch": 3.0,
3
  "total_flos": 0.0,
4
- "train_loss": 0.22519320912178067,
5
- "train_runtime": 12281.0925,
6
  "train_samples": 61119,
7
- "train_samples_per_second": 14.93,
8
- "train_steps_per_second": 0.233
9
  }
 
1
  {
2
  "epoch": 3.0,
3
  "total_flos": 0.0,
4
+ "train_loss": 0.22500331487643158,
5
+ "train_runtime": 12392.8387,
6
  "train_samples": 61119,
7
+ "train_samples_per_second": 14.795,
8
+ "train_steps_per_second": 0.231
9
  }
trainer_state.json CHANGED
The diff for this file is too large to render. See raw diff
 
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:0780adb083874a6ad57b7255bf6531458738cce843c710fcccd28bdb588101b8
3
- size 7544
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:159476079e4e1992c50475f53405778e870792e4663fca96206177c6b9b0a67d
3
+ size 7672