End of training

README.md

@@ -1,201 +1,106 @@
 ---
-library_name: transformers
-tags: []
+license: mit
+base_model: gpt2
+tags:
+- generated_from_trainer
+model-index:
+- name: '130000'
+  results: []
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
-
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
-
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-## Uses
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-### Direct Use
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-## How to Get Started with the Model
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-Use the code below to get started with the model.
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-## Training Details
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-### Training Data
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-### Training Procedure 
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-#### Training Hyperparameters
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+<!-- 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. -->
+
+# 130000
+
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.9987
+
+## 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: 0.0005
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 50
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 0.92  | 3    | 7.0396          |
+| No log        | 1.85  | 6    | 6.5398          |
+| No log        | 2.77  | 9    | 6.3337          |
+| 6.6916        | 4.0   | 13   | 6.3694          |
+| 6.6916        | 4.92  | 16   | 6.2945          |
+| 6.6916        | 5.85  | 19   | 6.3184          |
+| 6.1092        | 6.77  | 22   | 6.3726          |
+| 6.1092        | 8.0   | 26   | 6.2948          |
+| 6.1092        | 8.92  | 29   | 6.3374          |
+| 6.5151        | 9.85  | 32   | 6.3641          |
+| 6.5151        | 10.77 | 35   | 6.2335          |
+| 6.5151        | 12.0  | 39   | 6.1965          |
+| 5.998         | 12.92 | 42   | 6.0595          |
+| 5.998         | 13.85 | 45   | 6.0374          |
+| 5.998         | 14.77 | 48   | 6.0562          |
+| 5.6623        | 16.0  | 52   | 6.0128          |
+| 5.6623        | 16.92 | 55   | 5.9999          |
+| 5.6623        | 17.85 | 58   | 6.0008          |
+| 5.611         | 18.77 | 61   | 5.9992          |
+| 5.611         | 20.0  | 65   | 6.0017          |
+| 5.611         | 20.92 | 68   | 6.0005          |
+| 5.5519        | 21.85 | 71   | 5.9962          |
+| 5.5519        | 22.77 | 74   | 5.9964          |
+| 5.5519        | 24.0  | 78   | 5.9975          |
+| 5.5841        | 24.92 | 81   | 5.9974          |
+| 5.5841        | 25.85 | 84   | 6.0000          |
+| 5.5841        | 26.77 | 87   | 6.0019          |
+| 5.5582        | 28.0  | 91   | 6.0014          |
+| 5.5582        | 28.92 | 94   | 6.0016          |
+| 5.5582        | 29.85 | 97   | 5.9987          |
+| 5.591         | 30.77 | 100  | 5.9992          |
+| 5.591         | 32.0  | 104  | 5.9986          |
+| 5.591         | 32.92 | 107  | 5.9982          |
+| 5.5638        | 33.85 | 110  | 5.9983          |
+| 5.5638        | 34.77 | 113  | 5.9987          |
+| 5.5638        | 36.0  | 117  | 5.9989          |
+| 5.5683        | 36.92 | 120  | 5.9992          |
+| 5.5683        | 37.85 | 123  | 5.9995          |
+| 5.5683        | 38.77 | 126  | 5.9991          |
+| 5.5628        | 40.0  | 130  | 5.9992          |
+| 5.5628        | 40.92 | 133  | 5.9992          |
+| 5.5628        | 41.85 | 136  | 5.9991          |
+| 5.5628        | 42.77 | 139  | 5.9989          |
+| 5.5683        | 44.0  | 143  | 5.9987          |
+| 5.5683        | 44.92 | 146  | 5.9987          |
+| 5.5683        | 45.85 | 149  | 5.9987          |
+| 5.5534        | 46.15 | 150  | 5.9987          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

@@ -0,0 +1,39 @@
+{
+  "_name_or_path": "gpt2",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 0,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 0,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 512,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 12,
+  "n_positions": 1024,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 3000
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.38.2"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:351b48eaff23f55746de242ba034442136e0a6352690b504c07a9fb3393b3097
+size 352600704

runs/Mar07_14-14-41_32b81e991449/events.out.tfevents.1709820886.32b81e991449.237.0

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+version https://git-lfs.github.com/spec/v1
+oid sha256:04cbf81cda232374dd3345d775dff1cea23fa57077ff50a6e9447d5d18d97601
+size 20784

special_tokens_map.json

@@ -1,4 +1,17 @@
 {
-  "bos_token": "<|endoftext|>",
-  "eos_token": "<|endoftext|>"
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|endoftext|>"
 }

tokenizer.json

@@ -1,6 +1,11 @@
 {
   "version": "1.0",
-  "truncation": null,
+  "truncation": {
+    "direction": "Right",
+    "max_length": 512,
+    "strategy": "LongestFirst",
+    "stride": 0
+  },
   "padding": null,
   "added_tokens": [
     {

tokenizer_config.json

@@ -13,5 +13,6 @@
   "clean_up_tokenization_spaces": true,
   "eos_token": "<|endoftext|>",
   "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<|endoftext|>",
   "tokenizer_class": "PreTrainedTokenizerFast"
 }

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:271ba549ef8c7caf4fb91fe382f5864e4ddb623c2ad4de01dfdcd7b38cda4ee7
+size 4920