initial fine-tuning commit

README.md

@@ -1,3 +1,202 @@
----
-license: apache-2.0
----
+---
+base_model: gpt2-large
+library_name: peft
+---
+
+# 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. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.13.2

adapter_config.json

@@ -0,0 +1,28 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "gpt2-large",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "c_attn"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:882baeee98bc25f5ee9fdfb0b749f73500c9502102de3545b0a04f7aea5b28ef
+size 5907448

optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:03fd230d76240352b23e44da36b0770213e148218a2a144b4d97b281351ff600
+size 11839418

rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6eb620073ea52a8dde43fd0a3aa27ca495b26472ecb993a4ad9f806e5b85641b
+size 14244

scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:81204bf11235d2f9ed6394a324783f4e06d7a99c4c01104628a6a1a3b17696dd
+size 1064

special_tokens_map.json

@@ -1,30 +1,6 @@
 {
-  "bos_token": {
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
-  "eos_token": {
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
-  "pad_token": {
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
-  "unk_token": {
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  }
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "pad_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
 }

tokenizer_config.json

@@ -13,15 +13,8 @@
   "bos_token": "<|endoftext|>",
   "clean_up_tokenization_spaces": false,
   "eos_token": "<|endoftext|>",
-  "max_length": 1024,
   "model_max_length": 1024,
-  "pad_to_multiple_of": null,
   "pad_token": "<|endoftext|>",
-  "pad_token_type_id": 0,
-  "padding_side": "right",
-  "stride": 0,
   "tokenizer_class": "GPT2Tokenizer",
-  "truncation_side": "right",
-  "truncation_strategy": "longest_first",
   "unk_token": "<|endoftext|>"
 }

trainer_state.json

@@ -0,0 +1,285 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 90.0,
+  "eval_steps": 500,
+  "global_step": 360,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 2.5,
+      "grad_norm": 0.5093985795974731,
+      "learning_rate": 0.0009980973490458728,
+      "loss": 2.5467,
+      "step": 10
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 0.27049773931503296,
+      "learning_rate": 0.000992403876506104,
+      "loss": 1.618,
+      "step": 20
+    },
+    {
+      "epoch": 7.5,
+      "grad_norm": 0.22319507598876953,
+      "learning_rate": 0.0009829629131445341,
+      "loss": 1.3933,
+      "step": 30
+    },
+    {
+      "epoch": 10.0,
+      "grad_norm": 0.2564426362514496,
+      "learning_rate": 0.0009698463103929542,
+      "loss": 1.2537,
+      "step": 40
+    },
+    {
+      "epoch": 12.5,
+      "grad_norm": 0.29759547114372253,
+      "learning_rate": 0.0009531538935183251,
+      "loss": 1.1368,
+      "step": 50
+    },
+    {
+      "epoch": 15.0,
+      "grad_norm": 0.39310407638549805,
+      "learning_rate": 0.0009330127018922195,
+      "loss": 1.0137,
+      "step": 60
+    },
+    {
+      "epoch": 17.5,
+      "grad_norm": 0.4282013475894928,
+      "learning_rate": 0.0009095760221444959,
+      "loss": 0.9095,
+      "step": 70
+    },
+    {
+      "epoch": 20.0,
+      "grad_norm": 0.5433480143547058,
+      "learning_rate": 0.000883022221559489,
+      "loss": 0.8259,
+      "step": 80
+    },
+    {
+      "epoch": 22.5,
+      "grad_norm": 0.5130556225776672,
+      "learning_rate": 0.0008535533905932737,
+      "loss": 0.7432,
+      "step": 90
+    },
+    {
+      "epoch": 25.0,
+      "grad_norm": 0.5033867359161377,
+      "learning_rate": 0.0008213938048432696,
+      "loss": 0.6756,
+      "step": 100
+    },
+    {
+      "epoch": 27.5,
+      "grad_norm": 0.5322891473770142,
+      "learning_rate": 0.0007867882181755231,
+      "loss": 0.6123,
+      "step": 110
+    },
+    {
+      "epoch": 30.0,
+      "grad_norm": 0.5658751726150513,
+      "learning_rate": 0.00075,
+      "loss": 0.567,
+      "step": 120
+    },
+    {
+      "epoch": 32.5,
+      "grad_norm": 0.5688820481300354,
+      "learning_rate": 0.0007113091308703497,
+      "loss": 0.5171,
+      "step": 130
+    },
+    {
+      "epoch": 35.0,
+      "grad_norm": 0.48720425367355347,
+      "learning_rate": 0.0006710100716628344,
+      "loss": 0.4825,
+      "step": 140
+    },
+    {
+      "epoch": 37.5,
+      "grad_norm": 0.5325213074684143,
+      "learning_rate": 0.0006294095225512603,
+      "loss": 0.4498,
+      "step": 150
+    },
+    {
+      "epoch": 40.0,
+      "grad_norm": 0.527807891368866,
+      "learning_rate": 0.0005868240888334653,
+      "loss": 0.4184,
+      "step": 160
+    },
+    {
+      "epoch": 42.5,
+      "grad_norm": 0.4882418215274811,
+      "learning_rate": 0.0005435778713738292,
+      "loss": 0.3946,
+      "step": 170
+    },
+    {
+      "epoch": 45.0,
+      "grad_norm": 0.49641069769859314,
+      "learning_rate": 0.0005,
+      "loss": 0.3706,
+      "step": 180
+    },
+    {
+      "epoch": 47.5,
+      "grad_norm": 0.5216576457023621,
+      "learning_rate": 0.00045642212862617086,
+      "loss": 0.3529,
+      "step": 190
+    },
+    {
+      "epoch": 50.0,
+      "grad_norm": 0.5289739966392517,
+      "learning_rate": 0.00041317591116653486,
+      "loss": 0.3334,
+      "step": 200
+    },
+    {
+      "epoch": 52.5,
+      "grad_norm": 0.49065396189689636,
+      "learning_rate": 0.0003705904774487396,
+      "loss": 0.3166,
+      "step": 210
+    },
+    {
+      "epoch": 55.0,
+      "grad_norm": 0.4922383725643158,
+      "learning_rate": 0.0003289899283371657,
+      "loss": 0.3086,
+      "step": 220
+    },
+    {
+      "epoch": 57.5,
+      "grad_norm": 0.42886731028556824,
+      "learning_rate": 0.0002886908691296504,
+      "loss": 0.2894,
+      "step": 230
+    },
+    {
+      "epoch": 60.0,
+      "grad_norm": 0.42780551314353943,
+      "learning_rate": 0.0002500000000000001,
+      "loss": 0.286,
+      "step": 240
+    },
+    {
+      "epoch": 62.5,
+      "grad_norm": 0.4010085463523865,
+      "learning_rate": 0.00021321178182447708,
+      "loss": 0.2775,
+      "step": 250
+    },
+    {
+      "epoch": 65.0,
+      "grad_norm": 0.4402850866317749,
+      "learning_rate": 0.0001786061951567303,
+      "loss": 0.2714,
+      "step": 260
+    },
+    {
+      "epoch": 67.5,
+      "grad_norm": 0.4067270755767822,
+      "learning_rate": 0.00014644660940672628,
+      "loss": 0.2664,
+      "step": 270
+    },
+    {
+      "epoch": 70.0,
+      "grad_norm": 0.43572983145713806,
+      "learning_rate": 0.00011697777844051105,
+      "loss": 0.2582,
+      "step": 280
+    },
+    {
+      "epoch": 72.5,
+      "grad_norm": 0.3881024420261383,
+      "learning_rate": 9.042397785550405e-05,
+      "loss": 0.2549,
+      "step": 290
+    },
+    {
+      "epoch": 75.0,
+      "grad_norm": 0.3768531382083893,
+      "learning_rate": 6.698729810778065e-05,
+      "loss": 0.251,
+      "step": 300
+    },
+    {
+      "epoch": 77.5,
+      "grad_norm": 0.3921433389186859,
+      "learning_rate": 4.684610648167503e-05,
+      "loss": 0.2509,
+      "step": 310
+    },
+    {
+      "epoch": 80.0,
+      "grad_norm": 0.38551065325737,
+      "learning_rate": 3.0153689607045842e-05,
+      "loss": 0.2466,
+      "step": 320
+    },
+    {
+      "epoch": 82.5,
+      "grad_norm": 0.3801429867744446,
+      "learning_rate": 1.70370868554659e-05,
+      "loss": 0.2462,
+      "step": 330
+    },
+    {
+      "epoch": 85.0,
+      "grad_norm": 0.39348262548446655,
+      "learning_rate": 7.59612349389599e-06,
+      "loss": 0.2468,
+      "step": 340
+    },
+    {
+      "epoch": 87.5,
+      "grad_norm": 0.3822017014026642,
+      "learning_rate": 1.9026509541272275e-06,
+      "loss": 0.2477,
+      "step": 350
+    },
+    {
+      "epoch": 90.0,
+      "grad_norm": 0.3794040381908417,
+      "learning_rate": 0.0,
+      "loss": 0.2449,
+      "step": 360
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 360,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 90,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.43272328822784e+16,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6bdb11b99ff7611912ffa646acdf5ba37d6edf73ab4e6e7db0116e87d191a77d
+size 5496