gpt-neo-125m-cs-finetuning-60000-2

README.md

@@ -0,0 +1,59 @@
+---
+license: mit
+base_model: EleutherAI/gpt-neo-125m
+tags:
+- generated_from_trainer
+model-index:
+- name: gpt-neo-125m-cs-finetuning-60000-2
+  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. -->
+
+# gpt-neo-125m-cs-finetuning-60000-2
+
+This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-125m) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2236
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.4266        | 1.0   | 769  | 3.2905          |
+| 3.1527        | 2.0   | 1538 | 3.2364          |
+| 3.0764        | 3.0   | 2307 | 3.2236          |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 1.13.1+cu117
+- Datasets 2.14.6
+- Tokenizers 0.15.0

emissions.csv

@@ -0,0 +1,2 @@
+timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
+2024-04-01T16:04:38,codecarbon,f29eea97-8730-40cb-826b-0e063daff9dc,963.340451002121,0.026607761908190877,2.7620310016580312e-05,42.5,168.243,11.905189990997316,0.01137159951213334,0.04353101745630583,0.0031826603257312605,0.05808527729417041,South Korea,KOR,gyeonggi-do,,,Windows-10-10.0.19045-SP0,3.9.18,2.2.3,20,12th Gen Intel(R) Core(TM) i7-12700,1,1 x NVIDIA GeForce RTX 3060,127.1377,37.4331,31.747173309326172,machine,N,1.0

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.36.2"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2b98785d01afa71ba4920222b63030f2d91c6d7a30a1ffec8e8c11ae4e2ff615
+oid sha256:1896c1a2a5b62f89ae531e2d9a5a9b3e1ed973e92209fc1af6c2531d48ef07bf
 size 500811336

runs/Apr01_15-48-26_kbs/events.out.tfevents.1711954115.kbs.26352.8

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:86876e2e729ed425c318b0b11e63c80c2ed794a4c7cab40beb5440c38176543c
-size 5401
+oid sha256:83bf165ab4643926398418836bc8f16a9056ccca3cad652e9d83b079eaa381f4
+size 6611

runs/Apr01_15-48-26_kbs/events.out.tfevents.1711955101.kbs.26352.9

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:11eca7e1542714130b516c9b38d83f718da20ac3e9d49aac1a61d44f0cb47a51
+size 311