Training in progress, epoch 0, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/Qwen2-0.5B
+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

last-checkpoint/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/Qwen2-0.5B",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "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": [
+    "gate_proj",
+    "q_proj",
+    "down_proj",
+    "k_proj",
+    "v_proj",
+    "up_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fb986b2790c8a1f0a4b66440bc7329869ca87a2290a60f37f84160b3a3a2727d
+size 17640136

last-checkpoint/added_tokens.json

@@ -0,0 +1,6 @@
+{
+  "<|PAD_TOKEN|>": 151646,
+  "<|endoftext|>": 151643,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644
+}

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d141afc187ccc73dbeeed62471d43a074a3d1d6d4539998a4ec9e01bb4defb65
+size 9569204

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1784a9473dfefabda43750c2fe0fedb9c286fd213f8f4544d04ee3d767808430
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:705cabf5cbc3a6ab0feb67c77b9b453d59efcc939ce90d310af96e621810f990
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,20 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|PAD_TOKEN|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9479047c22047670077878de944c696032b1a81049beeb6e99fbda7fb93e395a
+size 11418456

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,52 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|PAD_TOKEN|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 32768,
+  "pad_token": "<|PAD_TOKEN|>",
+  "padding_side": "left",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,633 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.026784966937306438,
+  "eval_steps": 100,
+  "global_step": 400,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 6.696241734326609e-05,
+      "eval_loss": 2.174267530441284,
+      "eval_runtime": 163.7054,
+      "eval_samples_per_second": 38.41,
+      "eval_steps_per_second": 19.205,
+      "step": 1
+    },
+    {
+      "epoch": 0.00033481208671633044,
+      "grad_norm": 0.9260562658309937,
+      "learning_rate": 1.6666666666666667e-05,
+      "loss": 1.1887,
+      "step": 5
+    },
+    {
+      "epoch": 0.0006696241734326609,
+      "grad_norm": 0.9021257162094116,
+      "learning_rate": 3.3333333333333335e-05,
+      "loss": 1.5945,
+      "step": 10
+    },
+    {
+      "epoch": 0.0010044362601489914,
+      "grad_norm": 0.9025452733039856,
+      "learning_rate": 5e-05,
+      "loss": 1.5915,
+      "step": 15
+    },
+    {
+      "epoch": 0.0013392483468653218,
+      "grad_norm": 1.0874302387237549,
+      "learning_rate": 6.666666666666667e-05,
+      "loss": 1.628,
+      "step": 20
+    },
+    {
+      "epoch": 0.0016740604335816524,
+      "grad_norm": 1.7216452360153198,
+      "learning_rate": 8.333333333333334e-05,
+      "loss": 1.7435,
+      "step": 25
+    },
+    {
+      "epoch": 0.0020088725202979827,
+      "grad_norm": 2.0254034996032715,
+      "learning_rate": 0.0001,
+      "loss": 1.6424,
+      "step": 30
+    },
+    {
+      "epoch": 0.0023436846070143133,
+      "grad_norm": 2.3089540004730225,
+      "learning_rate": 9.995494831023409e-05,
+      "loss": 1.7435,
+      "step": 35
+    },
+    {
+      "epoch": 0.0026784966937306435,
+      "grad_norm": 2.23340106010437,
+      "learning_rate": 9.981987442712633e-05,
+      "loss": 1.6411,
+      "step": 40
+    },
+    {
+      "epoch": 0.003013308780446974,
+      "grad_norm": 2.5001442432403564,
+      "learning_rate": 9.959502176294383e-05,
+      "loss": 1.7324,
+      "step": 45
+    },
+    {
+      "epoch": 0.0033481208671633047,
+      "grad_norm": 6.447619915008545,
+      "learning_rate": 9.928079551738543e-05,
+      "loss": 2.1026,
+      "step": 50
+    },
+    {
+      "epoch": 0.003682932953879635,
+      "grad_norm": 1.4846231937408447,
+      "learning_rate": 9.887776194738432e-05,
+      "loss": 0.9139,
+      "step": 55
+    },
+    {
+      "epoch": 0.0040177450405959655,
+      "grad_norm": 1.2765096426010132,
+      "learning_rate": 9.838664734667495e-05,
+      "loss": 1.2814,
+      "step": 60
+    },
+    {
+      "epoch": 0.004352557127312296,
+      "grad_norm": 1.1545428037643433,
+      "learning_rate": 9.780833673696254e-05,
+      "loss": 1.2743,
+      "step": 65
+    },
+    {
+      "epoch": 0.004687369214028627,
+      "grad_norm": 1.2550811767578125,
+      "learning_rate": 9.714387227305422e-05,
+      "loss": 1.2456,
+      "step": 70
+    },
+    {
+      "epoch": 0.005022181300744957,
+      "grad_norm": 1.6476733684539795,
+      "learning_rate": 9.639445136482548e-05,
+      "loss": 1.3624,
+      "step": 75
+    },
+    {
+      "epoch": 0.005356993387461287,
+      "grad_norm": 1.5332133769989014,
+      "learning_rate": 9.55614245194068e-05,
+      "loss": 1.4752,
+      "step": 80
+    },
+    {
+      "epoch": 0.005691805474177618,
+      "grad_norm": 3.8824784755706787,
+      "learning_rate": 9.464629290747842e-05,
+      "loss": 1.6035,
+      "step": 85
+    },
+    {
+      "epoch": 0.006026617560893948,
+      "grad_norm": 2.0814363956451416,
+      "learning_rate": 9.365070565805941e-05,
+      "loss": 1.6343,
+      "step": 90
+    },
+    {
+      "epoch": 0.006361429647610279,
+      "grad_norm": 4.855213642120361,
+      "learning_rate": 9.257645688666556e-05,
+      "loss": 1.5957,
+      "step": 95
+    },
+    {
+      "epoch": 0.006696241734326609,
+      "grad_norm": 4.855248928070068,
+      "learning_rate": 9.142548246219212e-05,
+      "loss": 1.8685,
+      "step": 100
+    },
+    {
+      "epoch": 0.006696241734326609,
+      "eval_loss": 1.3918159008026123,
+      "eval_runtime": 163.6718,
+      "eval_samples_per_second": 38.418,
+      "eval_steps_per_second": 19.209,
+      "step": 100
+    },
+    {
+      "epoch": 0.00703105382104294,
+      "grad_norm": 1.4969482421875,
+      "learning_rate": 9.019985651834703e-05,
+      "loss": 0.8596,
+      "step": 105
+    },
+    {
+      "epoch": 0.00736586590775927,
+      "grad_norm": 1.4642244577407837,
+      "learning_rate": 8.890178771592199e-05,
+      "loss": 1.0313,
+      "step": 110
+    },
+    {
+      "epoch": 0.0077006779944756,
+      "grad_norm": 1.1550184488296509,
+      "learning_rate": 8.753361526263621e-05,
+      "loss": 1.2813,
+      "step": 115
+    },
+    {
+      "epoch": 0.008035490081191931,
+      "grad_norm": 1.5003013610839844,
+      "learning_rate": 8.609780469772623e-05,
+      "loss": 1.2205,
+      "step": 120
+    },
+    {
+      "epoch": 0.008370302167908262,
+      "grad_norm": 1.6831740140914917,
+      "learning_rate": 8.459694344887732e-05,
+      "loss": 1.4063,
+      "step": 125
+    },
+    {
+      "epoch": 0.008705114254624592,
+      "grad_norm": 2.0073044300079346,
+      "learning_rate": 8.303373616950408e-05,
+      "loss": 1.3491,
+      "step": 130
+    },
+    {
+      "epoch": 0.009039926341340923,
+      "grad_norm": 1.970392107963562,
+      "learning_rate": 8.141099986478212e-05,
+      "loss": 1.5904,
+      "step": 135
+    },
+    {
+      "epoch": 0.009374738428057253,
+      "grad_norm": 2.2006771564483643,
+      "learning_rate": 7.973165881521434e-05,
+      "loss": 1.5045,
+      "step": 140
+    },
+    {
+      "epoch": 0.009709550514773584,
+      "grad_norm": 3.4276771545410156,
+      "learning_rate": 7.799873930687978e-05,
+      "loss": 1.4812,
+      "step": 145
+    },
+    {
+      "epoch": 0.010044362601489915,
+      "grad_norm": 3.777205228805542,
+      "learning_rate": 7.621536417786159e-05,
+      "loss": 1.7224,
+      "step": 150
+    },
+    {
+      "epoch": 0.010379174688206243,
+      "grad_norm": 0.9603461027145386,
+      "learning_rate": 7.438474719068173e-05,
+      "loss": 0.8872,
+      "step": 155
+    },
+    {
+      "epoch": 0.010713986774922574,
+      "grad_norm": 0.9185311198234558,
+      "learning_rate": 7.251018724088367e-05,
+      "loss": 0.988,
+      "step": 160
+    },
+    {
+      "epoch": 0.011048798861638905,
+      "grad_norm": 0.8872480392456055,
+      "learning_rate": 7.059506241219965e-05,
+      "loss": 1.1061,
+      "step": 165
+    },
+    {
+      "epoch": 0.011383610948355235,
+      "grad_norm": 1.0405540466308594,
+      "learning_rate": 6.864282388901544e-05,
+      "loss": 1.1573,
+      "step": 170
+    },
+    {
+      "epoch": 0.011718423035071566,
+      "grad_norm": 1.0770432949066162,
+      "learning_rate": 6.665698973710288e-05,
+      "loss": 1.2171,
+      "step": 175
+    },
+    {
+      "epoch": 0.012053235121787896,
+      "grad_norm": 1.2423980236053467,
+      "learning_rate": 6.464113856382752e-05,
+      "loss": 1.4636,
+      "step": 180
+    },
+    {
+      "epoch": 0.012388047208504227,
+      "grad_norm": 1.532152771949768,
+      "learning_rate": 6.259890306925627e-05,
+      "loss": 1.5803,
+      "step": 185
+    },
+    {
+      "epoch": 0.012722859295220558,
+      "grad_norm": 2.0728421211242676,
+      "learning_rate": 6.0533963499786314e-05,
+      "loss": 1.4616,
+      "step": 190
+    },
+    {
+      "epoch": 0.013057671381936888,
+      "grad_norm": 2.2115986347198486,
+      "learning_rate": 5.8450041016092464e-05,
+      "loss": 1.4877,
+      "step": 195
+    },
+    {
+      "epoch": 0.013392483468653219,
+      "grad_norm": 5.700234889984131,
+      "learning_rate": 5.6350890987343944e-05,
+      "loss": 1.7236,
+      "step": 200
+    },
+    {
+      "epoch": 0.013392483468653219,
+      "eval_loss": 1.354627013206482,
+      "eval_runtime": 163.8467,
+      "eval_samples_per_second": 38.377,
+      "eval_steps_per_second": 19.189,
+      "step": 200
+    },
+    {
+      "epoch": 0.01372729555536955,
+      "grad_norm": 0.9484522342681885,
+      "learning_rate": 5.4240296223775465e-05,
+      "loss": 0.7298,
+      "step": 205
+    },
+    {
+      "epoch": 0.01406210764208588,
+      "grad_norm": 1.1288779973983765,
+      "learning_rate": 5.212206015980742e-05,
+      "loss": 0.9035,
+      "step": 210
+    },
+    {
+      "epoch": 0.014396919728802209,
+      "grad_norm": 1.7266836166381836,
+      "learning_rate": 5e-05,
+      "loss": 1.0985,
+      "step": 215
+    },
+    {
+      "epoch": 0.01473173181551854,
+      "grad_norm": 0.995969295501709,
+      "learning_rate": 4.78779398401926e-05,
+      "loss": 1.1848,
+      "step": 220
+    },
+    {
+      "epoch": 0.01506654390223487,
+      "grad_norm": 1.5627479553222656,
+      "learning_rate": 4.575970377622456e-05,
+      "loss": 1.3387,
+      "step": 225
+    },
+    {
+      "epoch": 0.0154013559889512,
+      "grad_norm": 1.6149134635925293,
+      "learning_rate": 4.364910901265606e-05,
+      "loss": 1.4154,
+      "step": 230
+    },
+    {
+      "epoch": 0.015736168075667533,
+      "grad_norm": 1.6124211549758911,
+      "learning_rate": 4.1549958983907555e-05,
+      "loss": 1.4861,
+      "step": 235
+    },
+    {
+      "epoch": 0.016070980162383862,
+      "grad_norm": 2.333585739135742,
+      "learning_rate": 3.94660365002137e-05,
+      "loss": 1.4805,
+      "step": 240
+    },
+    {
+      "epoch": 0.016405792249100194,
+      "grad_norm": 3.2034616470336914,
+      "learning_rate": 3.740109693074375e-05,
+      "loss": 1.5403,
+      "step": 245
+    },
+    {
+      "epoch": 0.016740604335816523,
+      "grad_norm": 4.460490703582764,
+      "learning_rate": 3.5358861436172485e-05,
+      "loss": 1.781,
+      "step": 250
+    },
+    {
+      "epoch": 0.017075416422532852,
+      "grad_norm": 1.3614052534103394,
+      "learning_rate": 3.334301026289712e-05,
+      "loss": 0.8676,
+      "step": 255
+    },
+    {
+      "epoch": 0.017410228509249184,
+      "grad_norm": 1.2099424600601196,
+      "learning_rate": 3.135717611098458e-05,
+      "loss": 1.0425,
+      "step": 260
+    },
+    {
+      "epoch": 0.017745040595965513,
+      "grad_norm": 1.1399760246276855,
+      "learning_rate": 2.9404937587800375e-05,
+      "loss": 1.1488,
+      "step": 265
+    },
+    {
+      "epoch": 0.018079852682681846,
+      "grad_norm": 1.2464284896850586,
+      "learning_rate": 2.748981275911633e-05,
+      "loss": 1.1467,
+      "step": 270
+    },
+    {
+      "epoch": 0.018414664769398174,
+      "grad_norm": 1.054639220237732,
+      "learning_rate": 2.5615252809318284e-05,
+      "loss": 1.3174,
+      "step": 275
+    },
+    {
+      "epoch": 0.018749476856114507,
+      "grad_norm": 1.547200322151184,
+      "learning_rate": 2.3784635822138424e-05,
+      "loss": 1.3793,
+      "step": 280
+    },
+    {
+      "epoch": 0.019084288942830836,
+      "grad_norm": 1.627147912979126,
+      "learning_rate": 2.2001260693120233e-05,
+      "loss": 1.5391,
+      "step": 285
+    },
+    {
+      "epoch": 0.019419101029547168,
+      "grad_norm": 2.48234486579895,
+      "learning_rate": 2.026834118478567e-05,
+      "loss": 1.5285,
+      "step": 290
+    },
+    {
+      "epoch": 0.019753913116263497,
+      "grad_norm": 3.616591453552246,
+      "learning_rate": 1.858900013521788e-05,
+      "loss": 1.4661,
+      "step": 295
+    },
+    {
+      "epoch": 0.02008872520297983,
+      "grad_norm": 5.476447105407715,
+      "learning_rate": 1.6966263830495936e-05,
+      "loss": 1.7933,
+      "step": 300
+    },
+    {
+      "epoch": 0.02008872520297983,
+      "eval_loss": 1.3094998598098755,
+      "eval_runtime": 163.9185,
+      "eval_samples_per_second": 38.361,
+      "eval_steps_per_second": 19.18,
+      "step": 300
+    },
+    {
+      "epoch": 0.020423537289696158,
+      "grad_norm": 0.7956154346466064,
+      "learning_rate": 1.5403056551122697e-05,
+      "loss": 0.8062,
+      "step": 305
+    },
+    {
+      "epoch": 0.020758349376412487,
+      "grad_norm": 0.7887328267097473,
+      "learning_rate": 1.3902195302273779e-05,
+      "loss": 0.7704,
+      "step": 310
+    },
+    {
+      "epoch": 0.02109316146312882,
+      "grad_norm": 1.0377590656280518,
+      "learning_rate": 1.246638473736378e-05,
+      "loss": 1.051,
+      "step": 315
+    },
+    {
+      "epoch": 0.021427973549845148,
+      "grad_norm": 1.5397368669509888,
+      "learning_rate": 1.1098212284078036e-05,
+      "loss": 1.1294,
+      "step": 320
+    },
+    {
+      "epoch": 0.02176278563656148,
+      "grad_norm": 1.3186566829681396,
+      "learning_rate": 9.800143481652979e-06,
+      "loss": 1.2664,
+      "step": 325
+    },
+    {
+      "epoch": 0.02209759772327781,
+      "grad_norm": 1.2383577823638916,
+      "learning_rate": 8.574517537807897e-06,
+      "loss": 1.3939,
+      "step": 330
+    },
+    {
+      "epoch": 0.02243240980999414,
+      "grad_norm": 2.637763500213623,
+      "learning_rate": 7.423543113334436e-06,
+      "loss": 1.5548,
+      "step": 335
+    },
+    {
+      "epoch": 0.02276722189671047,
+      "grad_norm": 1.9864592552185059,
+      "learning_rate": 6.349294341940593e-06,
+      "loss": 1.4275,
+      "step": 340
+    },
+    {
+      "epoch": 0.023102033983426803,
+      "grad_norm": 1.9794150590896606,
+      "learning_rate": 5.353707092521582e-06,
+      "loss": 1.4501,
+      "step": 345
+    },
+    {
+      "epoch": 0.02343684607014313,
+      "grad_norm": 6.367179870605469,
+      "learning_rate": 4.43857548059321e-06,
+      "loss": 1.8257,
+      "step": 350
+    },
+    {
+      "epoch": 0.023771658156859464,
+      "grad_norm": 0.7660558819770813,
+      "learning_rate": 3.605548635174533e-06,
+      "loss": 0.7747,
+      "step": 355
+    },
+    {
+      "epoch": 0.024106470243575793,
+      "grad_norm": 1.0603808164596558,
+      "learning_rate": 2.85612772694579e-06,
+      "loss": 0.8945,
+      "step": 360
+    },
+    {
+      "epoch": 0.024441282330292125,
+      "grad_norm": 0.7905088067054749,
+      "learning_rate": 2.191663263037458e-06,
+      "loss": 1.1056,
+      "step": 365
+    },
+    {
+      "epoch": 0.024776094417008454,
+      "grad_norm": 1.1489086151123047,
+      "learning_rate": 1.6133526533250565e-06,
+      "loss": 1.1273,
+      "step": 370
+    },
+    {
+      "epoch": 0.025110906503724783,
+      "grad_norm": 1.1459239721298218,
+      "learning_rate": 1.1222380526156928e-06,
+      "loss": 1.2485,
+      "step": 375
+    },
+    {
+      "epoch": 0.025445718590441115,
+      "grad_norm": 1.342341423034668,
+      "learning_rate": 7.192044826145771e-07,
+      "loss": 1.3644,
+      "step": 380
+    },
+    {
+      "epoch": 0.025780530677157444,
+      "grad_norm": 1.374852180480957,
+      "learning_rate": 4.049782370561583e-07,
+      "loss": 1.4949,
+      "step": 385
+    },
+    {
+      "epoch": 0.026115342763873776,
+      "grad_norm": 1.8837116956710815,
+      "learning_rate": 1.8012557287367392e-07,
+      "loss": 1.4726,
+      "step": 390
+    },
+    {
+      "epoch": 0.026450154850590105,
+      "grad_norm": 2.635817527770996,
+      "learning_rate": 4.5051689765929214e-08,
+      "loss": 1.5605,
+      "step": 395
+    },
+    {
+      "epoch": 0.026784966937306438,
+      "grad_norm": 4.389669418334961,
+      "learning_rate": 0.0,
+      "loss": 1.7267,
+      "step": 400
+    },
+    {
+      "epoch": 0.026784966937306438,
+      "eval_loss": 1.3007175922393799,
+      "eval_runtime": 163.5244,
+      "eval_samples_per_second": 38.453,
+      "eval_steps_per_second": 19.226,
+      "step": 400
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 400,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "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": 8405202663112704.0,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2ea06e84c2b0a0275132a4dce61383f3c384efcb476e47f1a476130aca20b8fd
+size 6776