🍻 cheers
Browse files- README.md +6 -5
- all_results.json +11 -11
- eval_results.json +6 -6
- runs/May07_17-56-54_6cf576645707/events.out.tfevents.1715105780.6cf576645707.35.3 +3 -0
- train_results.json +6 -6
- trainer_state.json +572 -37
README.md
CHANGED
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@@ -2,6 +2,7 @@
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license: apache-2.0
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base_model: Raihan004/Action_model
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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name: Image Classification
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type: image-classification
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dataset:
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name:
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type: imagefolder
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config: default
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split: train
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metrics:
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- name: Accuracy
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type: accuracy
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-
value: 0.
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Action_model
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This model is a fine-tuned version of [Raihan004/Action_model](https://huggingface.co/Raihan004/Action_model) on the
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It achieves the following results on the evaluation set:
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-
- Loss: 0.
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-
- Accuracy: 0.
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## Model description
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license: apache-2.0
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base_model: Raihan004/Action_model
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tags:
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+
- image-classification
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- generated_from_trainer
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datasets:
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- imagefolder
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name: Image Classification
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type: image-classification
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dataset:
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name: action_class
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type: imagefolder
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config: default
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split: train
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metrics:
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- name: Accuracy
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type: accuracy
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+
value: 0.8629173989455184
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Action_model
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+
This model is a fine-tuned version of [Raihan004/Action_model](https://huggingface.co/Raihan004/Action_model) on the action_class dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.4790
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+
- Accuracy: 0.8629
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## Model description
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all_results.json
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{
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-
"epoch":
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"eval_accuracy": 0.
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"eval_loss":
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"eval_runtime": 7.
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"eval_samples_per_second": 73.
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"eval_steps_per_second": 9.
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"total_flos": 3.3230947683690086e+
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"train_loss":
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"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second":
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}
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{
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"epoch": 10.0,
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"eval_accuracy": 0.8629173989455184,
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+
"eval_loss": 0.47900134325027466,
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+
"eval_runtime": 7.7338,
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+
"eval_samples_per_second": 73.573,
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+
"eval_steps_per_second": 9.31,
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"total_flos": 3.3230947683690086e+18,
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+
"train_loss": 0.3864157530798841,
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+
"train_runtime": 1135.6162,
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"train_samples_per_second": 37.759,
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"train_steps_per_second": 1.18
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}
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eval_results.json
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{
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"epoch":
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"eval_accuracy": 0.
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"eval_loss":
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"eval_runtime": 7.
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"eval_samples_per_second": 73.
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"eval_steps_per_second": 9.
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}
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{
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"epoch": 10.0,
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"eval_accuracy": 0.8629173989455184,
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"eval_loss": 0.47900134325027466,
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"eval_runtime": 7.7338,
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"eval_samples_per_second": 73.573,
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"eval_steps_per_second": 9.31
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}
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runs/May07_17-56-54_6cf576645707/events.out.tfevents.1715105780.6cf576645707.35.3
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:8cdc157a6730f9c81f5e20fb065b2e56919f0e2d3b644fe639361065b02d7e79
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+
size 411
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train_results.json
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{
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-
"epoch":
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-
"total_flos": 3.3230947683690086e+
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-
"train_loss":
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-
"train_runtime":
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-
"train_samples_per_second":
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"train_steps_per_second":
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}
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{
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"epoch": 10.0,
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"total_flos": 3.3230947683690086e+18,
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+
"train_loss": 0.3864157530798841,
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+
"train_runtime": 1135.6162,
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+
"train_samples_per_second": 37.759,
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"train_steps_per_second": 1.18
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}
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trainer_state.json
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{
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"best_metric":
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"best_model_checkpoint": "Action_model/checkpoint-
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"epoch":
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"eval_steps": 100,
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"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.15,
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"grad_norm": 1.
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"learning_rate":
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"loss":
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"step": 20
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},
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{
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"epoch": 0.3,
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"grad_norm":
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"learning_rate":
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"loss":
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"step": 40
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{
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"epoch": 0.45,
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"grad_norm":
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"learning_rate":
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"loss":
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"step": 60
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},
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"epoch": 0.6,
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"grad_norm":
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"learning_rate":
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"loss":
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"step": 80
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},
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{
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"epoch": 0.75,
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"grad_norm":
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"learning_rate":
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"loss":
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"step": 100
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},
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{
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"epoch": 0.75,
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"eval_accuracy": 0.
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"eval_loss":
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"eval_runtime":
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"eval_samples_per_second":
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"eval_steps_per_second":
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"step": 100
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},
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{
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"epoch": 0.9,
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"grad_norm":
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"learning_rate":
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"loss":
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"step": 120
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},
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{
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"epoch": 1.
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