Training in progress, step 500

README.md

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+---
+base_model: OFA-Sys/chinese-clip-vit-base-patch16
+tags:
+- generated_from_trainer
+model-index:
+- name: aoi_clip_eval
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/shark_meow_team/huggingface/runs/ez175rsf)
+# aoi_clip_eval
+
+This model is a fine-tuned version of [OFA-Sys/chinese-clip-vit-base-patch16](https://huggingface.co/OFA-Sys/chinese-clip-vit-base-patch16) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 6.0552
+- eval_accuracy: 0.0276
+- eval_runtime: 40.073
+- eval_samples_per_second: 242.433
+- eval_steps_per_second: 5.515
+- step: 0
+
+## 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: 1e-05
+- train_batch_size: 40
+- eval_batch_size: 44
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 60.0
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "eval_accuracy": 0.027586206896551724,
+    "eval_loss": 6.055156707763672,
+    "eval_runtime": 40.073,
+    "eval_samples_per_second": 242.433,
+    "eval_steps_per_second": 5.515
+}

config.json

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+{
+  "_name_or_path": "OFA-Sys/chinese-clip-vit-base-patch16",
+  "architectures": [
+    "ChineseCLIPImageDualModel"
+  ],
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "logit_scale_init_value": 2.6592,
+  "model_type": "chinese_clip",
+  "projection_dim": 512,
+  "text_config": {
+    "architectures": [
+      "ChineseCLIPTextModel"
+    ],
+    "bos_token_id": 0,
+    "directionality": "bidi",
+    "eos_token_id": 2,
+    "model_type": "chinese_clip_text_model",
+    "output_past": true,
+    "pooler_fc_size": 768,
+    "pooler_num_attention_heads": 12,
+    "pooler_num_fc_layers": 3,
+    "pooler_size_per_head": 128,
+    "pooler_type": "first_token_transform",
+    "vocab_size": 21128
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.3",
+  "vision_config": {
+    "dropout": 0.0,
+    "model_type": "chinese_clip_vision_model",
+    "patch_size": 16
+  }
+}

eval_results.json

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+{
+    "eval_accuracy": 0.027586206896551724,
+    "eval_loss": 6.055156707763672,
+    "eval_runtime": 40.073,
+    "eval_samples_per_second": 242.433,
+    "eval_steps_per_second": 5.515
+}

model.safetensors

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+size 1162455388

training_args.bin

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