nkasmanoff commited on
Commit
994fc73
·
verified ·
1 Parent(s): cbb36b6

End of training

Browse files
README.md ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: apache-2.0
4
+ base_model: HuggingFaceTB/SmolLM-135M
5
+ tags:
6
+ - trl
7
+ - sft
8
+ - generated_from_trainer
9
+ model-index:
10
+ - name: nature-buddy
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
+ # nature-buddy
18
+
19
+ This model is a fine-tuned version of [HuggingFaceTB/SmolLM-135M](https://huggingface.co/HuggingFaceTB/SmolLM-135M) on the None dataset.
20
+
21
+ ## Model description
22
+
23
+ More information needed
24
+
25
+ ## Intended uses & limitations
26
+
27
+ More information needed
28
+
29
+ ## Training and evaluation data
30
+
31
+ More information needed
32
+
33
+ ## Training procedure
34
+
35
+ ### Training hyperparameters
36
+
37
+ The following hyperparameters were used during training:
38
+ - learning_rate: 0.0005
39
+ - train_batch_size: 8
40
+ - eval_batch_size: 8
41
+ - seed: 0
42
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
43
+ - lr_scheduler_type: cosine
44
+ - lr_scheduler_warmup_ratio: 0.05
45
+ - num_epochs: 5
46
+
47
+ ### Training results
48
+
49
+
50
+
51
+ ### Framework versions
52
+
53
+ - Transformers 4.44.2
54
+ - Pytorch 2.2.1+cu121
55
+ - Datasets 2.21.0
56
+ - Tokenizers 0.19.1
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "total_flos": 2990143010382336.0,
4
+ "train_loss": 0.5055735324683629,
5
+ "train_runtime": 417.7958,
6
+ "train_samples_per_second": 38.344,
7
+ "train_steps_per_second": 4.799
8
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 0,
4
+ "eos_token_id": 0,
5
+ "transformers_version": "4.44.2"
6
+ }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f71ef1bb24455ebff53ee3f79cd2c073bb252c14c213d9d27c5c637230eed102
3
  size 269060552
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:55e4e607657b976b9630015a8876895943023749d0c8fa953ad86f9a1cbed34c
3
  size 269060552
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 5.0,
3
+ "total_flos": 2990143010382336.0,
4
+ "train_loss": 0.5055735324683629,
5
+ "train_runtime": 417.7958,
6
+ "train_samples_per_second": 38.344,
7
+ "train_steps_per_second": 4.799
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,182 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 5.0,
5
+ "eval_steps": 500,
6
+ "global_step": 2005,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.24937655860349128,
13
+ "grad_norm": 1.2734375,
14
+ "learning_rate": 0.0004950495049504951,
15
+ "loss": 1.4705,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.49875311720698257,
20
+ "grad_norm": 1.265625,
21
+ "learning_rate": 0.0004966720227318671,
22
+ "loss": 0.9437,
23
+ "step": 200
24
+ },
25
+ {
26
+ "epoch": 0.7481296758104738,
27
+ "grad_norm": 1.078125,
28
+ "learning_rate": 0.0004866439935228541,
29
+ "loss": 0.8591,
30
+ "step": 300
31
+ },
32
+ {
33
+ "epoch": 0.9975062344139651,
34
+ "grad_norm": 1.03125,
35
+ "learning_rate": 0.00047018796504965955,
36
+ "loss": 0.8111,
37
+ "step": 400
38
+ },
39
+ {
40
+ "epoch": 1.2468827930174564,
41
+ "grad_norm": 0.8359375,
42
+ "learning_rate": 0.0004477509350887423,
43
+ "loss": 0.574,
44
+ "step": 500
45
+ },
46
+ {
47
+ "epoch": 1.4962593516209477,
48
+ "grad_norm": 1.0234375,
49
+ "learning_rate": 0.0004199423643322254,
50
+ "loss": 0.5806,
51
+ "step": 600
52
+ },
53
+ {
54
+ "epoch": 1.745635910224439,
55
+ "grad_norm": 1.0078125,
56
+ "learning_rate": 0.00038751762150804385,
57
+ "loss": 0.5699,
58
+ "step": 700
59
+ },
60
+ {
61
+ "epoch": 1.9950124688279303,
62
+ "grad_norm": 0.8046875,
63
+ "learning_rate": 0.00035135746517639757,
64
+ "loss": 0.5553,
65
+ "step": 800
66
+ },
67
+ {
68
+ "epoch": 2.2443890274314215,
69
+ "grad_norm": 0.74609375,
70
+ "learning_rate": 0.00031244411954180673,
71
+ "loss": 0.3753,
72
+ "step": 900
73
+ },
74
+ {
75
+ "epoch": 2.493765586034913,
76
+ "grad_norm": 0.91796875,
77
+ "learning_rate": 0.00027183459413737774,
78
+ "loss": 0.374,
79
+ "step": 1000
80
+ },
81
+ {
82
+ "epoch": 2.743142144638404,
83
+ "grad_norm": 1.0546875,
84
+ "learning_rate": 0.00023063197210303058,
85
+ "loss": 0.3746,
86
+ "step": 1100
87
+ },
88
+ {
89
+ "epoch": 2.9925187032418954,
90
+ "grad_norm": 1.0625,
91
+ "learning_rate": 0.00018995544695885592,
92
+ "loss": 0.3789,
93
+ "step": 1200
94
+ },
95
+ {
96
+ "epoch": 3.2418952618453867,
97
+ "grad_norm": 0.94140625,
98
+ "learning_rate": 0.0001509099217695958,
99
+ "loss": 0.2943,
100
+ "step": 1300
101
+ },
102
+ {
103
+ "epoch": 3.491271820448878,
104
+ "grad_norm": 0.81640625,
105
+ "learning_rate": 0.00011455599648308674,
106
+ "loss": 0.288,
107
+ "step": 1400
108
+ },
109
+ {
110
+ "epoch": 3.7406483790523692,
111
+ "grad_norm": 0.78515625,
112
+ "learning_rate": 8.18811586814684e-05,
113
+ "loss": 0.2878,
114
+ "step": 1500
115
+ },
116
+ {
117
+ "epoch": 3.9900249376558605,
118
+ "grad_norm": 0.82421875,
119
+ "learning_rate": 5.377296029546741e-05,
120
+ "loss": 0.2929,
121
+ "step": 1600
122
+ },
123
+ {
124
+ "epoch": 4.239401496259352,
125
+ "grad_norm": 0.8203125,
126
+ "learning_rate": 3.099490888702508e-05,
127
+ "loss": 0.2837,
128
+ "step": 1700
129
+ },
130
+ {
131
+ "epoch": 4.488778054862843,
132
+ "grad_norm": 0.8125,
133
+ "learning_rate": 1.4165728369278874e-05,
134
+ "loss": 0.2715,
135
+ "step": 1800
136
+ },
137
+ {
138
+ "epoch": 4.738154613466334,
139
+ "grad_norm": 0.85546875,
140
+ "learning_rate": 3.7425525083322754e-06,
141
+ "loss": 0.268,
142
+ "step": 1900
143
+ },
144
+ {
145
+ "epoch": 4.987531172069826,
146
+ "grad_norm": 0.88671875,
147
+ "learning_rate": 8.507724455514287e-09,
148
+ "loss": 0.2712,
149
+ "step": 2000
150
+ },
151
+ {
152
+ "epoch": 5.0,
153
+ "step": 2005,
154
+ "total_flos": 2990143010382336.0,
155
+ "train_loss": 0.5055735324683629,
156
+ "train_runtime": 417.7958,
157
+ "train_samples_per_second": 38.344,
158
+ "train_steps_per_second": 4.799
159
+ }
160
+ ],
161
+ "logging_steps": 100,
162
+ "max_steps": 2005,
163
+ "num_input_tokens_seen": 0,
164
+ "num_train_epochs": 5,
165
+ "save_steps": 500,
166
+ "stateful_callbacks": {
167
+ "TrainerControl": {
168
+ "args": {
169
+ "should_epoch_stop": false,
170
+ "should_evaluate": false,
171
+ "should_log": false,
172
+ "should_save": true,
173
+ "should_training_stop": true
174
+ },
175
+ "attributes": {}
176
+ }
177
+ },
178
+ "total_flos": 2990143010382336.0,
179
+ "train_batch_size": 8,
180
+ "trial_name": null,
181
+ "trial_params": null
182
+ }