valstu commited on
Commit
b03ce31
·
verified ·
1 Parent(s): 215720f

valstu/colpali-hockey-ft-0.2

Browse files
README.md ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ license: gemma
4
+ base_model: vidore/colpali-v1.3-hf
5
+ tags:
6
+ - generated_from_trainer
7
+ model-index:
8
+ - name: colpali-hockey-ft-0.2
9
+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ # colpali-hockey-ft-0.2
16
+
17
+ This model is a fine-tuned version of [vidore/colpali-v1.3-hf](https://huggingface.co/vidore/colpali-v1.3-hf) on an unknown dataset.
18
+
19
+ ## Model description
20
+
21
+ More information needed
22
+
23
+ ## Intended uses & limitations
24
+
25
+ More information needed
26
+
27
+ ## Training and evaluation data
28
+
29
+ More information needed
30
+
31
+ ## Training procedure
32
+
33
+ ### Training hyperparameters
34
+
35
+ The following hyperparameters were used during training:
36
+ - learning_rate: 5e-05
37
+ - train_batch_size: 4
38
+ - eval_batch_size: 8
39
+ - seed: 42
40
+ - gradient_accumulation_steps: 4
41
+ - total_train_batch_size: 16
42
+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
43
+ - lr_scheduler_type: linear
44
+ - lr_scheduler_warmup_steps: 100
45
+ - num_epochs: 1
46
+
47
+ ### Training results
48
+
49
+
50
+
51
+ ### Framework versions
52
+
53
+ - PEFT 0.11.1
54
+ - Transformers 4.48.1
55
+ - Pytorch 2.5.1+cu124
56
+ - Datasets 3.2.0
57
+ - Tokenizers 0.21.0
adapter_config.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": {
4
+ "base_model_class": "ColPaliForRetrieval",
5
+ "parent_library": "transformers.models.colpali.modeling_colpali"
6
+ },
7
+ "base_model_name_or_path": "vidore/colpali-v1.3-hf",
8
+ "bias": "none",
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": "gaussian",
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 8,
17
+ "lora_dropout": 0.1,
18
+ "megatron_config": null,
19
+ "megatron_core": "megatron.core",
20
+ "modules_to_save": null,
21
+ "peft_type": "LORA",
22
+ "r": 8,
23
+ "rank_pattern": {},
24
+ "revision": null,
25
+ "target_modules": [
26
+ "v_proj",
27
+ "gate_proj",
28
+ "q_proj",
29
+ "o_proj",
30
+ "down_proj",
31
+ "k_proj",
32
+ "up_proj"
33
+ ],
34
+ "task_type": null,
35
+ "use_dora": false,
36
+ "use_rslora": false
37
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1b703afee15fa3cdba03720cc6ee7d0dcb0bb9f3e6169f62ca9f792324f12f35
3
+ size 45260040
runs/Jan31_20-54-18_b0af7a222e94/events.out.tfevents.1738356870.b0af7a222e94.6672.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a412b43ed3a483688c2598b97ac878062d84b2b9e366a5ae9c9370058c3aa467
3
+ size 8925
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:db752ae5330b1128658d1c57727c86c42533caf3d8739d2b009ed39e11f7ed04
3
+ size 5304