Training in progress, step 50

README.md

@@ -6,9 +6,6 @@ tags:
 model-index:
 - name: git-base-instagram-cap
   results: []
-pipeline_tag: image-to-text
-language:
-- en
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # git-base-instagram-cap
 
-This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an [Instagram Caption](https://huggingface.co/datasets/mrSoul7766/instagram_post_captions) dataset.
+This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1859
 - Wer Score: 1.0566
@@ -73,4 +70,4 @@ The following hyperparameters were used during training:
 - Transformers 4.37.0.dev0
 - Pytorch 2.1.0+cu121
 - Datasets 2.16.1
-- Tokenizers 0.15.0
+- Tokenizers 0.15.0

config.json

@@ -1,5 +1,5 @@
 {
-  "_commit_hash": null,
+  "_name_or_path": "microsoft/git-base",
   "architectures": [
     "GitForCausalLM"
   ],
@@ -22,85 +22,13 @@
   "position_embedding_type": "absolute",
   "tie_word_embeddings": false,
   "torch_dtype": "float32",
-  "transformers_version": null,
+  "transformers_version": "4.37.0.dev0",
   "use_cache": true,
   "vision_config": {
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-    "add_cross_attention": false,
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-    "attention_dropout": 0.0,
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-    "diversity_penalty": 0.0,
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-    "early_stopping": false,
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-    "hidden_act": "quick_gelu",
-    "hidden_size": 768,
-    "id2label": {
-      "0": "LABEL_0",
-      "1": "LABEL_1"
-    },
-    "image_size": 224,
     "initializer_factor": 1.0,
-    "initializer_range": 0.02,
-    "intermediate_size": 3072,
-    "is_decoder": false,
-    "is_encoder_decoder": false,
-    "label2id": {
-      "LABEL_0": 0,
-      "LABEL_1": 1
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-    "layer_norm_eps": 1e-05,
-    "length_penalty": 1.0,
-    "max_length": 20,
-    "min_length": 0,
     "model_type": "git_vision_model",
-    "no_repeat_ngram_size": 0,
-    "num_attention_heads": 12,
-    "num_beam_groups": 1,
-    "num_beams": 1,
-    "num_channels": 3,
-    "num_hidden_layers": 12,
-    "num_return_sequences": 1,
-    "output_attentions": false,
-    "output_hidden_states": false,
-    "output_scores": false,
-    "pad_token_id": null,
-    "patch_size": 16,
-    "prefix": null,
-    "problem_type": null,
-    "projection_dim": 512,
-    "pruned_heads": {},
-    "remove_invalid_values": false,
-    "repetition_penalty": 1.0,
-    "return_dict": true,
-    "return_dict_in_generate": false,
-    "sep_token_id": null,
-    "suppress_tokens": null,
-    "task_specific_params": null,
-    "temperature": 1.0,
-    "tf_legacy_loss": false,
-    "tie_encoder_decoder": false,
-    "tie_word_embeddings": true,
-    "tokenizer_class": null,
-    "top_k": 50,
-    "top_p": 1.0,
-    "torch_dtype": null,
-    "torchscript": false,
-    "transformers_version": "4.26.0.dev0",
-    "typical_p": 1.0,
-    "use_bfloat16": false
+    "projection_dim": 512
   },
   "vocab_size": 30522
-}
+}

model.safetensors

@@ -1,3 +1,3 @@
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 size 706516040

runs/Dec31_21-38-49_228ad310bd3c/events.out.tfevents.1704058742.228ad310bd3c.23033.0

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training_args.bin

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