superbigtree
commited on
Commit
•
aa16ccf
1
Parent(s):
0cf2467
Model save
Browse files- README.md +5 -7
- all_results.json +8 -8
- eval_results.json +4 -4
- model.safetensors +1 -1
- runs/Feb08_06-07-11_d0d182b85cf0/events.out.tfevents.1707372446.d0d182b85cf0.139131.0 +2 -2
- tokenizer.json +2 -16
- train_results.json +4 -4
- trainer_state.json +117 -33
- training_args.bin +1 -1
README.md
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@@ -2,7 +2,7 @@
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tags:
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- generated_from_trainer
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datasets:
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-
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model-index:
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- name: clip-roberta-finetuned
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results: []
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@@ -13,9 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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# clip-roberta-finetuned
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This model was trained from scratch on the
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It achieves the following results on the evaluation set:
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- Loss: 1.5879
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## Model description
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@@ -39,9 +37,9 @@ The following hyperparameters were used during training:
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- eval_batch_size: 64
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices:
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- total_train_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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tags:
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- generated_from_trainer
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datasets:
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- coco_dataset_script
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model-index:
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- name: clip-roberta-finetuned
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results: []
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# clip-roberta-finetuned
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This model was trained from scratch on the coco_dataset_script dataset.
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## Model description
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- eval_batch_size: 64
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- total_train_batch_size: 128
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- total_eval_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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all_results.json
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166 |
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|
167 |
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{
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168 |
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|
169 |
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170 |
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171 |
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"step": 13500
|
172 |
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|
173 |
{
|
174 |
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|
175 |
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|
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180 |
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|
181 |
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182 |
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|
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training_args.bin
CHANGED
@@ -1,3 +1,3 @@
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|
1 |
version https://git-lfs.github.com/spec/v1
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2 |
-
oid sha256:
|
3 |
size 4347
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|
|
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version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:3d6660050e1f57c34181cf3294825f8f508833b8386043d9d31a8d0e846841ab
|
3 |
size 4347
|