Model save

README.md

@@ -0,0 +1,70 @@
+---
+library_name: transformers
+base_model: Hartunka/tiny_bert_rand_5_v1
+tags:
+- generated_from_trainer
+metrics:
+- spearmanr
+model-index:
+- name: tiny_bert_rand_5_v1_stsb
+  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. -->
+
+# tiny_bert_rand_5_v1_stsb
+
+This model is a fine-tuned version of [Hartunka/tiny_bert_rand_5_v1](https://huggingface.co/Hartunka/tiny_bert_rand_5_v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6687
+- Pearson: 0.3171
+- Spearmanr: 0.3124
+- Combined Score: 0.3148
+
+## 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: 256
+- eval_batch_size: 256
+- seed: 10
+- 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
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
+| 3.4897        | 1.0   | 23   | 2.4595          | 0.0690  | 0.0582    | 0.0636         |
+| 2.0096        | 2.0   | 46   | 2.6146          | 0.1248  | 0.1084    | 0.1166         |
+| 1.8479        | 3.0   | 69   | 2.3951          | 0.1948  | 0.1792    | 0.1870         |
+| 1.6023        | 4.0   | 92   | 2.3876          | 0.2931  | 0.2855    | 0.2893         |
+| 1.3085        | 5.0   | 115  | 2.4778          | 0.2811  | 0.2712    | 0.2761         |
+| 1.0396        | 6.0   | 138  | 2.4495          | 0.3129  | 0.3111    | 0.3120         |
+| 0.8308        | 7.0   | 161  | 2.4751          | 0.3386  | 0.3393    | 0.3390         |
+| 0.6749        | 8.0   | 184  | 2.5454          | 0.3256  | 0.3217    | 0.3237         |
+| 0.574         | 9.0   | 207  | 2.6687          | 0.3171  | 0.3124    | 0.3148         |
+
+
+### Framework versions
+
+- Transformers 4.50.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.21.1

logs/events.out.tfevents.1744645455.s_005_m.2701049.66

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b6cca1732e34b4127f7530aa1606372735105e7e968c3e99e8254c91c8cccb9c
-size 9451
+oid sha256:d3c6b62f5c4e997ad60824070246930f8d9923d3b461cc4570f53946f074a764
+size 11093

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:96321f4541378680c98af734d798922967b7e34fbd27818aee34c9ae70663a87
+oid sha256:a4d65517e09440e373d4f43edcecf8bed23a48d51aeef93b8039e44814519161
 size 131854692