table-transformer-azure-dust-65

README.md

@@ -0,0 +1,58 @@
+---
+base_model: toobiza/MT-celestial-grass-58
+tags:
+- generated_from_trainer
+model-index:
+- name: table-transformer-azure-dust-65
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# table-transformer-azure-dust-65
+
+This model is a fine-tuned version of [toobiza/MT-celestial-grass-58](https://huggingface.co/toobiza/MT-celestial-grass-58) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.1439
+- eval_loss_ce: 0.0014
+- eval_loss_bbox: 0.0818
+- eval_cardinality_error: 1.0
+- eval_giou: 92.6646
+- eval_runtime: 26.1327
+- eval_samples_per_second: 3.061
+- eval_steps_per_second: 1.531
+- epoch: 4.17
+- step: 350
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1fb91233608a178660092c7d8b972e213935edf0fabf00ad65207ea9eff6ac45
+oid sha256:c409df5d95e598e13abf00907829a1941c6a58c041293f2a7d66e581b86fdae1
 size 115384777