End of training

README.md

@@ -0,0 +1,80 @@
+---
+license: apache-2.0
+base_model: distilgpt2
+tags:
+- generated_from_trainer
+model-index:
+- name: S1_InstructionGeneratorGamma
+  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. -->
+
+# S1_InstructionGeneratorGamma
+
+This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0763
+
+## 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: 2e-05
+- train_batch_size: 48
+- eval_batch_size: 48
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 24
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 230  | 0.0822          |
+| No log        | 2.0   | 460  | 0.0809          |
+| 0.0914        | 3.0   | 690  | 0.0801          |
+| 0.0914        | 4.0   | 920  | 0.0788          |
+| 0.0865        | 5.0   | 1150 | 0.0785          |
+| 0.0865        | 6.0   | 1380 | 0.0780          |
+| 0.0841        | 7.0   | 1610 | 0.0781          |
+| 0.0841        | 8.0   | 1840 | 0.0778          |
+| 0.0824        | 9.0   | 2070 | 0.0774          |
+| 0.0824        | 10.0  | 2300 | 0.0770          |
+| 0.0817        | 11.0  | 2530 | 0.0771          |
+| 0.0817        | 12.0  | 2760 | 0.0769          |
+| 0.0817        | 13.0  | 2990 | 0.0769          |
+| 0.0806        | 14.0  | 3220 | 0.0766          |
+| 0.0806        | 15.0  | 3450 | 0.0765          |
+| 0.0799        | 16.0  | 3680 | 0.0765          |
+| 0.0799        | 17.0  | 3910 | 0.0765          |
+| 0.0793        | 18.0  | 4140 | 0.0764          |
+| 0.0793        | 19.0  | 4370 | 0.0763          |
+| 0.0789        | 20.0  | 4600 | 0.0763          |
+| 0.0789        | 21.0  | 4830 | 0.0762          |
+| 0.0786        | 22.0  | 5060 | 0.0763          |
+| 0.0786        | 23.0  | 5290 | 0.0763          |
+| 0.0784        | 24.0  | 5520 | 0.0763          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

@@ -0,0 +1,8 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "do_sample": true,
+  "eos_token_id": 50256,
+  "max_length": 50,
+  "transformers_version": "4.38.2"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1cfea0d27e6da5dfde2c282c730b253dda036e32c65f267ce2ab351a4a94355a
+oid sha256:b848a0649e78863b328cb3363d2352f3793fa9374c68ed624111b76ac116c76e
 size 327657928

runs/Mar31_12-55-04_ilpa1209/events.out.tfevents.1711904115.ilpa1209.2365860.4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5ce0d7dc51be936909ea7cdcfd88479e072909e9ed08c1727c1c4cc75150c4f7
-size 13593
+oid sha256:ea81f3290e67c024fd411d6123cc673c2c42831c3c486f1786af5a3223b601a4
+size 14218

runs/Mar31_12-55-04_ilpa1209/events.out.tfevents.1711906891.ilpa1209.2365860.5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:580f83daa44fe1b37d7b5cce9831dbf76ac3705c7de08b450e995b8482e8eab8
+size 359