End of training

README.md

@@ -0,0 +1,53 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: vidore/colqwen2-base
+tags:
+- colpali
+- generated_from_trainer
+model-index:
+- name: finetune_colqwen2-v1.0
+  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. -->
+
+# finetune_colqwen2-v1.0
+
+This model is a fine-tuned version of [vidore/colqwen2-base](https://huggingface.co/vidore/colqwen2-base) on the None dataset.
+
+## 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: 3e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 1
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3

adapter_config.json

@@ -0,0 +1,26 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "vidore/colqwen2-base",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": "(.*(model).*(down_proj|gate_proj|up_proj|k_proj|q_proj|v_proj|o_proj).*$|.*(custom_text_proj).*$)",
+  "task_type": "FEATURE_EXTRACTION",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3bb816833141e593bd989adbf1a0446c738b2feaf5ad8750219420a3341ff6e2
+size 74018232

generation_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.01,
+  "top_k": 1,
+  "top_p": 0.001,
+  "transformers_version": "4.46.3"
+}

runs/Dec07_22-22-00_l-0037930f-7a7f-43a1-be61-b29649ff25d0/events.out.tfevents.1733610287.l-0037930f-7a7f-43a1-be61-b29649ff25d0.5590.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:025da012b090d084c772dd908283e88fac9c5825f91331702c499a67bbb0b278
+size 7639

runs/Dec07_22-48-18_l-0037930f-7a7f-43a1-be61-b29649ff25d0/events.out.tfevents.1733611999.l-0037930f-7a7f-43a1-be61-b29649ff25d0.5590.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3aae3b77f2690f96cce808bf6d50dda4a8875f190d9766190ce80d852bc45259
+size 6301

runs/Dec07_23-05-32_l-0037930f-7a7f-43a1-be61-b29649ff25d0/events.out.tfevents.1733612926.l-0037930f-7a7f-43a1-be61-b29649ff25d0.8134.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3cb0b348ab3c9c4bb1c5486010e0210ca59b0f60ec0a448293bf35db2142d201
+size 6962

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fec017bd2b6a69984ac01cda5d0f949d6d333672167fbaf8cc184975fbebeaec
+size 5304